MicroStrategy World 2019 Day 1 Keynote

Please welcome Senior Executive Vice President and Chief Marketing

Officer Marge Braya.

Good morning everyone. This is a great packed packed house. Thanks so much for

coming here on time pretty much. We've got thousands of people here today in

attendance over 2,000 customers and thousands online as well. So how about a big

round of applause for everybody here and everybody online?

Micro strategy world 2019 is all about micro strategy 2019. There we go. We truly

believe that this show is going to be a celebration of all of the feedback, the

advances and the inputs that all of you as our customers have given us that

has fueled the biggest and best release that we've had perhaps in the history

of the company. Micro strategy 2019 is we believe the biggest analytics

breakthrough that has happened in decades and boy do we have a lot to talk

about. But first there's no way that we could get this going without our

partners. So first of all I wanted to go ahead and recognize our platinum

sponsor Pandera, our four gold sponsors Amazon Deloitte, Proficient and Snowflake,

our nine silver sponsors and our 15 Explorer sponsors. We can't do this without any

of you and we've got so many ways that all of you in the audience can go ahead and

engage with our partners. You might have seen already that in our on our show

floor. We've got over 30 different booths from our partners. We've also got six

great booths from Micro Strategy. We've got a services booth. We've got so many

things from our hyper market. You'll hear more about that. Yes, hyper cards are

abound. In fact, you may not be able to miss them or get away from them at all.

And probably it started with the key that you had at your hotel room. Yes, you

will see hyper cards everywhere and honestly our goal is to make sure that as

you're thinking about all of this, you're actually designing what your dream card is.

And we'll show you this morning more about how you can do that and how you can

think about all of it. But there's so much going on here at Micro Strategy

world. We've got just a ton of different sessions. This morning we started

with a ton of folks coming together with a charity to go ahead and raise money

for STEM her with a bootcamp. So how many folks were bringing it early this

morning? Yay, woohoo! Right? This afternoon we've got a women's networking event

that's going to be over 300 folks and we've got so many other things planned and

don't worry we'll get you the details to the party and everything else. But first

we've got just some awesome presentations. And first person you might expect

that I might introduce would be somebody who has probably the longest titles

perhaps in the industry. He started the company so he's founder. He is also the

chairman. He's the chief executive officer. He is the president, my new friend,

if I can say that. And I lovingly call him EJ. He doesn't know that but that's

Ormigal. But EJ is El Happy. And it's my pleasure or the boss to bring up on

stage Michael Sailor.

Thank you, Marge. It's really a delight to see everybody in the room today. It's really

awesome whenever I see any of our long time customers or partners or employees coming

here back every single year to micro strategy world. We all have one thing in common in

this room. And the one thing we have in common is we've devoted our career to making our

enterprises more intelligent. And that's an exciting thing. We've all got a different

journey. I have a journey. Why did I get interested in intelligence? Well, for me

it started when I got cut from the basketball team in ninth grade. But I made the varsity

chest team. And I thought to myself, maybe my career and intelligence is going to be

better than my career fighting with muscle and agility. And I think about the human race.

And what did we do in order to grow in the world? Well, we knew we weren't going to defeat

the lions, the tigers, the bears. Anybody in the room think that they can out wrestle

a gorilla? No. How many people think you're smarter than a chimpanzee? Okay, this is interesting.

I used to think, well, I can't out wrestle the gorilla, but maybe I'm smarter than the

chimpanzee and the human race is smarter than chimpanzee. And my quest for intelligence,

I tripped over this piece of research on the internet. It blew my mind and it caused

me to rethink everything that I know about intelligence in the real world.

Inuyama, Japan, look at the monkeys. Here, a group of chimpanzees have been trained

to play a game that exposes something shocking about their memories. This is going to blow

your mind. Here is how it works. One, two, three. Remember where they are because they're

about to disappear? Can you point to where each number used to be in numerical order? Probably

it's pretty easy. One, two, three. But what if we make it harder? Get ready to point to

where each number was in order now? If you feel like you didn't have enough time to

memorize the screen, that's fine. It's nothing to be ashamed of. Or is it? Here is a chim

pansy taking exactly that long to memorize the same arrangement. Nailed it.

Ayumu is currently Matsuzawa's best pupil, able to ace the memory tests at lazily fast

speeds.

Maybe get set to go. Oh man, you may take a time as long as you want to remember nine

new notes. Wow, even when I take time, I can't do it right.

That's right. 13.7, 0.0, 2.9. Getting better. I got better. Yeah. Because you were

pressing Ayumu, it's 0.5 seconds. You got to be kidding me. That's way too fast. I got

the first three.

So you recognize that you cannot do just like Ayumu. It's impossible. Yeah, it's impossible.

Because the main thing in the world of here right now, so that is the life of chimpanzees.

Quick decision.

Our ancestors didn't have that same pressure in the course of a human evolution. We may

have had this kind of capability, but we lost it.

So, it's a jungle out there, and we all think we're smart, but is intelligence the ability

to solve the problem if you're given a few hours? Is the intelligence the ability to solve

the problem if you're given a few minutes? Or is the intelligence the ability to solve

the problem if you're given a second or two seconds? Right? It's a jungle out there.

So if you're fighting for your life, if you're trying to sell things, make things, if you're

trying to deal with challenges in an operational world, intelligence means something different

than tinkering for a few hours at your PC. And when I came across this video, it got me

thinking, maybe there's another type of intelligence that we need to be injecting into our enterprises

that would actually make us better at operating in the real world. And we call that hyperintelligence.

I can't make myself as strong as a gorilla, not with muscle, but maybe I can do it with

a machine. And when we think about this chimpanzee, we thought, well, can we actually create

some software that will make us as smart in the moment in real time as that animal is?

And that takes us to a new view of enterprise intelligence. Every enterprise is making lots

of decisions, thousands of decisions every day. Now, you've got some decisions that are strategic

decisions. You hire McKenzie, a consultant, you spend weeks, and you strategize, you analyze,

and you can take days to make that decision. That's the 20th century idea. Then you've got

some decisions to take hours. So you take your Excel spreadsheet, you assign an analyst,

and they create a dossier or a dashboard, maybe they use Tableau, and maybe the use Excel,

and maybe use MicroStrategy, and maybe they use some other tinkering tool. That's self-service

business intelligence. And that used to be the coolest, greatest, neatest thing ever. They

ability to solve a problem in three hours. Then you've got problems to take minutes. Well,

if you have minutes, you can't really build a dossier or a dashboard or a spreadsheet. You have

to deploy an enterprise application. So we build applications, and everybody in this room is

probably deployed enterprise intelligence applications. On the web, on mobile devices, I have a problem,

I take out my phone, I click, I browse, I scroll, I select, and in two or three minutes, I get the

answer. Now, how many decisions do you have in your life where you can take five minutes to get

the answer? How many decisions do you have in your life where you can take five seconds to get

the answer? What we observe is there's a whole lot of things in the world where you don't have five

minutes. You definitely don't have five hours. You've got seconds. And how do you react to that?

Well, we see in our own business over and over again, we see, oh, there's a customer, there's a case.

I know the answer is in Salesforce.com or in the system of record. If I stop and run the application,

and click 37 times, in three minutes, I'll have the answer. But there's 37 questions behind that one.

And so I just kind of do my best, winging it, just like the guy in the chimpanzee booth. And I get it

half, but I don't get it all the way right. Wouldn't it be great if I could just answer that question in

seconds? We see this as a paradigm shift. 1989, MicroStrategy was formed. And for the first 10 years,

in this business, we lived in the era of PC intelligence. The coolest thing in the world was a Mac

two 27 inch monitor color graphical interface. And they both look into the information system.

And that launch, crystal and hollows and cognos and micro strategy, all sorts of companies.

And the coolest thing that came along next was 1999. We moved in the era of web intelligence.

Everybody launched this application that could run over the web and you could reach

the vendors, the customers over the internet and the internet. And from 1999 to 2009, we kept

releasing cooler and better web intelligence functionality. And then 2009, with the iPhone 3,

we commercialized mobile and we had Android and iOS and we launched the era of mobile intelligence.

So we started thinking about putting applications and intelligence into the palm of your hand onto

an iPad everywhere. And for 10 years, we made it better and better and better. Now the year is

2019. We're entering the era of hyper intelligence. And hyper intelligence is not a new device,

is not a replacement the PC. Hyper intelligence is a new way to think about intelligence. It's

I don't have five minutes, I don't have 37 clicks. I need a heads up display, I have 500 milliseconds,

and I have zero clicks. And I have 100 things coming at me fast, and I need to answer before I

ask the question. Is not a fad, is not a feature, we don't think it's going to play out in the next 12

months. We think that over the next decade, you're going to see intelligence progressively infused

in more and more parts of your life through all sorts of devices, all sorts of interfaces. And we're

just not going to be satisfied to have answered the question in three hours. And we're not going to be

satisfied to have answered the question in three minutes. We're going to be thinking in three seconds,

I'm going to answer 100 questions in a row. And that's a different world for us.

How are you going to do that? Well, at MicroStrategy, we think there's three things that are critical.

One, we're committed to modern analytics. Second, we're committed to an open architecture. And third,

an enterprise grade platform. If we have a modern, open enterprise grade platform,

we can plug into all these information sources. We can synthesize the insight using the enterprise

semantic graph. And we can deliver the insight, the next best action, the suggestion,

in less than a second or two seconds, wherever you might be.

There are really three things you're going to see us talking about a lot in the coming year.

The first thing is federated analytics. That means delivering a single version of the truth to

every single tool. The second is transformation and mobility, putting that insight into action,

every place in the enterprise you might be. And the third, hyper intelligence. The answer finds

me before I ask the question. I wanted to show you a cool set of examples in each of these three

areas. And let's start a little bit with federated analytics. Every single enterprise that I talk to,

they all agree on one thing and they can't agree on the other thing. The first thing they agree on

is we'd like a single version of the truth. We'd like to be able to get at clean, secure,

enterprise information organized along the lines of the enterprise semantic graph,

a single version of metrics, a single hierarchy, a mandated security model. We all want that

available to everybody in the enterprise and we want to be able to build applications off of

that enterprise analytic framework quickly, easily. No one will debate that. Wouldn't it be great

if we had a single version of the truth? Now, we get to the next question. Who's tool should you use

in order to get to the single version of the truth? Microsoft's tool, tabloes, tool, clicks,

tool, microstrodergies tool, R, Python, the next thing. And that's where it gets really, really

debatable, very controversial. If you ask people to rip out their tool or replace it with a different

tool, they fight back. But if you offer people a single version of the truth, well, that they get

really excited about. And so in Microsoft 2019, we created connectors to every one of these

popular platforms. And it's more than just creating the connectors. We've made a commitment

to support the tool of choice of every analyst across every department and your enterprise.

So if we can't convince them to use Microsoft's desktop to build their dossier or build their

application, then we're going to provide them with the connection and the integration with that

enterprise set of data and enterprise security model so they can use any other tool.

Why did we do this? We did it primarily because we think the most important thing is to have an

enterprise grade analytic framework and security model that everybody can get behind. And

Micro Strategies, the best platform in the world for that, we want to make it easy for everybody else

to be partners in that endeavor. Second thing you'll see us talk about a lot is transformation

on mobility. We're committed to converting insight into action. I hear it over and over again.

And insights worth a penny and actions worth a dollar. So how do we actually inject insight

directly into the workflow? And the answer generally is we got to embed it into an application.

And we got to put the application in the palm of your hand. So you've got it when you're talking

to the customer, when you're in the factory, when you're in the field, when you're walking into a

meeting. For those long time Micro Strategy customers, you know, you can build very, very sophisticated

Micro Strategy applications that will run on web or mobile. We don't stop with analytics.

We focus on transaction, communication, authentication. All of these things are important to

creating productivity. And we provided three different ways to do this in Micro Strategy 2019.

We've got the ability to build a custom mobile application using our SDKs. And you can compile that

using an Android SDK and iOS SDK and deploy it however you like. If you need something to run as

a point of sale with one second sub-second response time, that's probably the right approach.

And embed your intelligence right into a custom app. The second approach is a no-code productivity

app, a document app that runs on the web and runs on mobile devices and iOS and Android.

You can do that without coding using the Micro Strategy framework. And you can put telemetry,

transaction, authentication right into that application. Many, many people have done that. We've

been in this business for quite a while. The thing that's really exciting about Micro Strategy 2019

is we're bringing to market the Micro Strategy mobile dossier. And we have two of these dossiers

in a number of ways. You can build a dossier application 10 times faster than you can build a document

application, maybe a hundred times faster than you can build a custom mobile application.

With Micro Strategy 2019, you can do one other thing, which is amazing. You can run it 10 times faster.

We have refined the mobile caching, the mobile optimization, and mobile deployment algorithms.

So if you build a dossier in Micro Strategy, it'll run seamlessly over the web and over iOS

and over Android and it's fast. How fast? One second, two second. And my definition,

it's hyper intelligence. If you can get the answer to the question in less than five seconds,

right? While you're staring at the person that's talking. Have you taken iPad and you roll out a

Micro Strategy mobile app based on the 2019 platform, you can literally swipe through the pages and

you'll get a, if you get a delay, it's a one and a half second delay. It's very fast, especially if

you got it configured properly. So, insight to action is all about deploying these applications

quickly. An analyst can create a dossier application in an hour or two hours, punch a button,

and deploy it to your entire mobile environment in minutes.

Help productive? Well, in Micro Strategy, we use our own product. In the last nine months,

our departmental analyst created 5,500 dossier applications. They build dossiers as fast as you can

build a spreadsheet as fast as you can build a Word document. In fact, we don't bother to use

PowerPoint presentations or static documents or static spreadsheets anymore. Every single thing that

we do is built upon a dynamic data-driven analytic application, a dossier, hyper-adjule,

everything's built fast, it's flexible, and it's deployable to just about any client. And so,

that's our commitment to transformation and mobility. We'll continue to invest in that area.

But what I'd like to do now is talk about hyper-intelligence, because I really think hyper-intelligence

is a paradigm shift. It's this idea that maybe being the smartest creature in the jungle,

when I have five minutes to make the decision, isn't going to get me through the day.

The reason that chimpanzee can do that test in half a second or in 200 milliseconds is because

if they count wrong and they think they're six predators, but there's really seven predators,

they're going to die. It's a life or death decision. If they're trying to figure out what's coming

at them, they're going to die. Human beings, we developed this language, we developed a build,

remember the past, and think about the future. And we can say things like,

meet me next Tuesday of midnight, bring your spirit, don't trip on the rock like you did last Saturday.

That's a complicated idea, and sometimes that's a useful thing to express, but we gave up a

lot of near-term real-time brain power in order to get a memory of the past and imagination of

the future at a complex language. Now, how do we get it back? How do we think that

fast? Well, the answer is hyperintelligence. We have engineered hyperintelligence into the

Microstrategy platform, and we were able to do it because we had the data sets, we had the

end-memory cubes, we had the enterprise security model, we had the groups, the privileges, the

roles. We had the workstation, we had the underlying report object, we had the query synthesizer

that's capable of phishing data in a heterogeneous fashion across so many sources. We had all the

scheduling, we had the deployment so that I can punch a button and spin up an environment

in the cloud in a matter of minutes. We put all that together to make it possible for an analyst

to create a hyper application in a matter of 20 minutes. Once you've got workstation,

you can build a dossier, if you can build a simple grid, you can build a hypercard in minutes,

certify it, and it goes out to 27,000 people in the organization. And those 27,000 people see a

personalized view, a securitized view based upon their data. We've got the horsepower in the back

and everything's coming together just to make the organization smarter. So what does this mean in

the real world? Well, here's an email. And in my email, I have three people that work for me,

and I think to myself, I wish I could remember what they did or what I need to do for them.

And the 30-minute approach or the three-hour approach is build a spreadsheet. That's stupid.

The five-minute approach is click on a system of record and query and type their name in,

but you know I'm not going to do that. The hyper approach is just hover over the name,

and now I know who they are, where they are, what they do, what they need, what I should do with them.

Right? And I know it in a second. I will probably do the one second thing. I will not do the five-minute

thing. How do I know that? A lifetime of watching how people behave. Okay, here's a webpage.

Web pages had hyperlinks. That was the coolest thing of our lifetime, hyperlinks. You click on

something that takes you somewhere. Well, the coolest thing looking forward is hyperintelligence.

We're never going to look at a webpage again. That webpage has words or nouns in blue,

nouns in red, nouns in green. Imagine seeing in black and white, and what if I said to you,

now you're going to see in color. Hyperintelligence is like going from black and white to color.

Those three colors correlate to companies, people, and products. And I think, well, we do

business with that company in salesforce.com. I could probably figure out what business we did.

And I do business without person, and maybe in one of my marketing systems or contact systems,

I can figure out when. And we sell that product. And I think probably I can figure out how much of

that product we sell or we should sell. But I just can't do it now because I'm about to change pages

to the next page. If I was hyperintelligent, it would all come to mind instantly. And so

as I hover over this, depending upon the color and the, what kind of noun is it? Is it a person

a place or a thing? My hypercard gives me the information I need. It's quick, it's easy, it's fun.

And you'll never browse the web again. Now, now when I look at a company in the web,

and it doesn't have the hypercard attached, I kind of get mad because I feel stupid.

I don't want to feel stupid. You know, I want you to think about losing your sense of color.

How about this one? I hear something coming from a long way away. How far away can you hear it?

I hear it from 500 meters away. Okay, I take away your sense of hearing. Now, what do you got to do?

I got to get out of my chair, walk 500 meters, check and see whether the truck is vibrating,

walk back to my chair, and I go, well, there's a truck coming my way. That took five minutes.

You wouldn't want to lose your hearing, especially if you're actually fighting for your life in the

jungle. I so imagine I make you blind or I make you deaf. Not good. Hyperintelligence is like

giving you a new sense. This is Salesforce.com, and it's really a plain boring screen. But in fact,

I feel like there's something I should know about James there. And that doesn't seem so boring

anymore, does it? Right? Now I know what James looks like. I know what James does with my business.

I understand his credit score, satisfaction when he last integrated with us. And I just understand

it effortlessly. And you know what? I did a sneaky thing here. I just imbued intelligence into a

system of record, but the intelligence came from six other systems. And so I can make, we can make

Salesforce or Oracle or SAP more intelligent using its own data, but we can also join in other

data sources from the cloud and data sources from the enterprise. And I can do that in how long?

Right? I can do that in minutes. As an analyst, I could actually decide to imbue this contact with

intelligence. And I could change it every day. And I could change it faster that I could change a

spreadsheet. And 27,000 people, all of a sudden understand what I wanted them to understand.

And that takes me to our primary desktop intelligence tool the last 30 years.

Right? The biggest beneficiary of PC intelligence was Microsoft, and the biggest tool was Excel.

And everybody knows about Excel. It's a billion Excel user. So I got a spreadsheet there. And what

does spreadsheets have on them? They have lines of content, lines of people, lines of product, places,

cases, stuff to do. It looks pretty boring. And if I read and squint, I can figure out what's going on.

But what if I could see in color? That's okay. That's okay. That's okay. That's okay. That's not okay.

Right? All of a sudden I'm getting hyper intelligence as I scrub through an array. And the spreadsheet

was built to do one thing. And maybe the spreadsheet was built to do one thing five years ago. That

hypercard was put in production five minutes ago, five days ago, yesterday. That's dynamic.

The hypercard is splicing data from workday, SAP, Salesforce, your microstrategy system of record.

And it's in viewing it into 275,000 static spreadsheets built over the last decade that are sitting

out there in 42 departments in the hands of 500 analysts. Now go try getting the 500 analysts to

rebuild their spreadsheet more intelligently. Not going to happen. Right? This, this we just turn on

and it's intelligence like vapor. It just sneaks into the workplace. Okay, you can clap.

Again, think about going blind. You know, I look at all spreadsheets now and they turn off the

hyper feature and I just feel like I just got stupid. All right, I just, I got blinded. Okay,

this is Power BI. This is the Arch Enemy Evil Competitive BI tool.

But you know, at the end of the day, I figure Microsoft's not going away and so we can stick our

heads in the sand or we can engage. And so wouldn't it be great if Power BI was even more intelligent?

Right? This is our contribution to Power BI. Right? We just injected hyper intelligence from

the marketing department into a Power BI dashboard built by a sales analyst in the sales department.

Maybe the person that made that hyper cards in Singapore, maybe the person using that Power BI is

in New York City. Maybe we love that hyper card. It looks quite beautiful to me. Maybe the head of

marketing will change that hyper card tomorrow. It will then ripple into 37,000 Power BI applications.

You know, what else that hyper card will do? That's a launch pad and that will launch you back in

any system of record or any transactional application. So if I actually wanted you to find

a system of record, I just put a link and I go click and I'm there and that's just exciting.

We came public in 1998. So I have now been public company CEO for 81 quarters, which makes me the

longest-lived-longest-lasting public company CEO in the entire enterprise analytics or enterprise

database or software business. And how many people remember that perspective?

I know it's a long time ago. It's quite ancient. On the back page of the perspective, we put a

quote from Arthur C. Clark and the quote was, any sufficiently advanced technology is indistinguishable

from magic. And I believed it then and I believe it now. And what I was thinking was,

mirror, mirror on the wall, who's the fairest of them all? That sounds like magic. We grew up with

that, you know, Cinderella story. So actually, that's the wrong metaphor. It's a snow white story.

The snow white story. But what happens if I put a microstrategy badge in your pocket on your phone

and I put a television on the wall and I put a dossier in front of you?

Show me my West's region. Show me my Northeast region.

What if the mirror recognized you and gave you the answer to your question? It sounds like magic to me.

It was good enough to make Disney billions and billions of dollars.

We passed the era of stupid static walls. We've gotten to the point where you might as well put a

thousand dollar HD television on the wall. You've already got a phone in your pocket.

It ought to make you angry. You can't talk to the wall and get the answer.

Just like it ought to make you angry that you see a name of something and you don't get the

hypercard on the name of the something. Right? We're moving into a new world. Everything can get more

intelligent. Now, what if I didn't have to talk to the wall? What if the wall just recognized me

coming? Your phone is a transponder. When I walked to the wall, there's no reason why I can't

recognize me and give me the answer to the question. Hyperintelligence is about, let's do that again.

That was really fun. How long is that going to take? That's pretty fast, eh?

If you're in the back of a McDonald's restaurant or in the break room of a Starbucks or if you're

sitting in the lobby of a hotel, maybe you might like to know the name of the customer or the name of

the employee or the name of the vendor or the name of the whatever or the thing to do. Maybe you'd

like to know it with your hands full of stuff as you're walking. We can do it now. It's straightforward.

Take the micrissched you badge. Take an application. Drop it onto an HD TV. You can put a $50

raspberry pie computer in that TV and walls come to life. Can we make a box of macaroni and cheese come to life?

Well, you can if you actually look at it. Now, this is an interesting world. I recognize the macaroni

and cheese. I pull the hypercard and the hypercard is a launch pad to run an application and the application

does something. How long did that take? That's a different world, right? Not 37 clicks, not a mouse.

We're talking about just seeing things. The world of the future is a heads-up display for the enterprise.

It's a popular trivia fact that Marvel Comics made more money on the Iron Man movie, the first one,

than they made in the history of the comic book industry. Every comic book ever published wasn't as

profitable as the first Iron Man movie. What was the secret to Iron Man? It was the suit.

Everybody loves the suit and the suit is all about a heads-up display. I look, identify, I do pattern

recognition, I tell you what to do. Run from that thing, run toward that thing. This is what I do.

If you think about the world of a heads-up display and you combine it with a hypercard, then you start

thinking, wow, it'd be great if I just recognized what I was looking at and I understood what to do next.

That would make me truly hyper-intelligent. We can see things from a barcode, we can do a pattern

recognition, we can know where you are with GPS. Here's an example of hypercards being generated by

the GPS coordinates inside a tablet computer. What is hyperintelligence? Hyperintelligence is

understanding the definition of a case, a customer, a product, a place, a vendor, an employee. These

are your nouns. Understanding where you are, what you're looking at, feeding that into the enterprise

semantograph, running the query, fetching back a card of insight. By the card might be a picture,

the card might be KPIs, the card might be the next best action, the card could be anything that

would be helpful in the situation and question. Then putting it into the place where you're doing

the work. Whether it's looking at a calendar, whether it's an outlook, whether it's on a web browser,

whether it's a heads up display, whether it's on the wall in the factory, where is the work taking

place? Put the answer to the question before I ask the question in context, make it easy for me.

That's hyperintelligence. Everybody I talk to, they tell this story. Yeah, we have these

applications, but they're really hard to use. We have this application, we built it in blah, blah,

blah over the course of 10 years. It's got great data, but we only get about 5% of the use as we

like to get. We have this great answer, but no one looks at it. I have the answer to these questions,

but it's too many quicks to get to it. I have this thing, but we ought to do training. I did this

training, but now the people are different. There's too much turnover. It's too hard, too complicated. It's

too blah, blah, blah, blah. Everybody struggles with how do I deploy that intelligence application?

Hyperintelligence is an answer to the problem. Can I deploy intelligence without training,

without clicking, without thinking, without promoting, without waiting? How do I make intelligence

like vapor? And this is what it looks like in a real working environment.

Hi, who am I speaking to? Yes, ma'am. How can I help? I'll make sure a technician is on the way.

Hi, which department are you trying to reach? Okay, let me just pull up your account information.

One moment please. Hi, can you please hold? Hello? Hello?

Miss Ellis, thanks for contacting us. I'm forwarding you now to your case manager.

Yes, ma'am, my pleasure. Hi, Mr. Mirez. Looks like you're overdue for an upgrade. We'll add that to

your account now. Hello, Mr. Smith. Thanks for being a customer for the last eight years.

I'm adding a 15% discount to your renewal.

Hi, Mr. Seller. Happy birthday.

I asked my engineers for a birthday present. They gave me hyper intelligence.

Now I give that present to you.

So how do you do this? You start with an analytics platform.

Depoy federated analytics to win over the department and analyst.

Depoy transformation of mobility to inject that insight into action.

And start to deploy hyper intelligence applications. How long does it take?

You could do all these things in less than two weeks.

I've had engineers at our company tell me they did it all in less than two days.

Some of them have done it in hours. But one promise I'll make to everybody in the room.

If your enterprise wants to do this, we can actually do this and spin up the entire thing in two

weeks or less for you. And so if you want to try and kick the tires, challenge us. We're happy to

go ahead and deploy hyper intelligence, federated analytics and transformational mobility in your

enterprise. And with that, I want to thank everybody for making the commitment to come to

MicroStrategy World. And thank you for devoting your career to making the world a more intelligent

place. Let's work together in 2019. Thank you.

Okay. So first of all, what a great speech, right? Good job, Michael.

Michael's birthday was just as it said on their February 4th. And so indeed, he was not telling a

lie. This is all about a great gift for him as well. So folks, I hope you can see that this is

truly a rich set of new functionality, new features and breakthrough features in the platform.

So we've got a ton to do and over the next roughly hour, we're going to walk you through all the

details now. And so with that, we'll go into the second session here on stage. And we're going to

really work on how do we go ahead and look at everything from the performance of the platform

to the platform itself. And then everything from federated analytics to transformational mobility

and finally hyper intelligence. And we'll have our global SI partner of the year on stage,

as well as our technology partner of the year on stage. And it can't wait to get to this.

So first of all, why don't we go ahead and look at some of the numbers on MicroStrategy 2019.

The numbers are impressive. We've added nearly 1,700 features since 10.4. And these are features

big, small, many of which you requested. So MicroStrategy 2019, we believe is a joint effort

from our partners, our employees, and all of you, our customers. We've also had nearly 560

manures of effort that has gone into this release. Over 1.1 million hours of development

and testing. Lots of testing. You'll see today from customers who have started to deploy and

upgraded. All the way to partners who have already got things in production and moving into

production today. MicroStrategy 2019 is not just a release that's here. It's a release that's here

and performing today. So what about everything that you're going to see in this whole session?

Michael talked about all the decisions that we need to make. We think that you're going to have

to make some decisions as well. We've got a rich set of content folks over the next couple of days.

Started yesterday with our educational sessions. We've got more on Thursday. We've got over 60

expert sessions that will take you through all of the things that we're going to be talking about.

And I'll highlight just a spattering of them. You've got the guide. Please make sure you look at it.

Get on your map or on your mobile app and decide which ones are going to be the best ones for you.

We've got workshops, partner presentations, and over 60 customers who are going to share their

journeys as they've gone to MicroStrategy 2019 or transformed their business together with all of us.

So it's going to be a tough decision to decide which session to go to. But what we think won't be

tough decisions is why you will want to, if you've not started already, upgrade to MicroStrategy 2019.

So let's take a step back and think about all the decisions that we've got to make in the enterprise.

We talked about decisions that take weeks or hours, decisions that take minutes,

or decisions that take seconds. And the bubbles, of course, recognize the magnitude of numbers

between the differences of those decisions. And it's also on the speed that they work through.

When you think about strategic decisions, it's all about making sure that you've got the right data,

the right information. In many cases, to change behavior in the enterprise.

Those decisions that we're doing in minutes are typically operational decisions.

It's capturing a workflow, capturing a behavior, getting information into that behavior

immediately, lots to do with mobile. And then finally, the decisions in seconds,

which Michael just went through, those hyper decisions that we think can happen anywhere in the

enterprise. From in your hand, as you'll see tomorrow from Tim, or today, on a screen,

and soon on walls, and through camera lenses, you'll see as well. What do we think an easy decision

is going to be though? The easy decision is going to be to gain that performance that you can get

just from going from 10.4 to micro-strategy 2019. And by any view, it's impressive.

First, let's look at the responses that we have in terms of fast response rates.

25 to 30 percent faster. Literally out of the box, just go ahead and upgrade 25 to 30 percent faster.

What about concurrent users? From a concurrent user standpoint, in eight nodes, we can get up to

165,000 concurrent users. Spectacular increase, up to 40 percent increase in concurrent users.

Finally, take it across nodes, take it across response time, and you are going to see linear

performance at 30 to 40 percent improvement across the board. Great performance and great results

from the engineering team. So by any measure, you can scale to more users with better response time,

which means you are unlimited and uncompromised as you deploy micro-strategy 2019.

But what about those sessions that you're going to end up looking at here? And there's a couple

of ones that I want to highlight. First of all, we've got a customer session, Bell Canada. So today

at 11.30 right after this, you'll be able to see that. And then all the way to the right here,

you'll see the upgraded advisory. What is an upgraded advisory? First of all, remember that you

go to the services booth and in the exhibit hall to go ahead and find it. The upgraded advisory is

a week long consultation where we will give you a customized roadmap in order for you to get your

journey to micro-strategy 2019. More than 60 customers today have signed up for this at the show.

And we are able to deliver more of these if you'd like. Please go to the booth and get there.

As part of this advisory, you'll also get access to our cloud product. Because we'll go ahead and

build a sandbox for you so that you can experience hyperintelligence or dossiers or anything else you

want in micro-strategy 2019. So this is a great service. Sign up for it and please go ahead and

get your upgraded advisory. It'll help you and help us learn more and more about what you're seeing,

what you need to see. And I think it'll be a great custom service. On Wednesday then, we've got

a couple more sessions, everything from big data to upgrading from 9x and 10x to 2019. And then

obviously we also have some other technical sessions. But what about the platform itself?

Michael talked about our open enterprise platform. And it's designed of course to go ahead and help

you, help others, make every decision in the enterprise. We've added literally hundreds of new

features for administrators and architects. Think about this, everything from platform analytics

to pre-configured environments, new APIs, and always the ability to go ahead and white label

and rebrand things so that you can make micro-strategy 2019 your own.

The cloud is one of the biggest new things that we're doing here today. And it's all about adding

another great cloud provider to our platform. Micro-strategy cloud on AWS or Azure is designed so

that you can in minutes, literally within 30 minutes, go ahead and deploy the environment,

be able to monitor in real time as you're scaling it. You'll be supported by dozens of locations

around the world. Think about being able to dom a style where you need to for security or for privacy

issues or locate data and locate analytics where performance is really important.

And be able to through automatic backups and great features, move back and forth from on premise

to your cloud of choice. This is all stuff that we are increasingly investing a ton of engineering

in. And when you look at this, it will help you save weeks of time, get incredible performance,

and have the flexibility and agility for you to go where you need to anywhere in the world.

But wait, there's more. What about micro-strategy workstation? Micro-strategy workstation

is, and this is actually my favorite slide because I can say it's the most enjoyable

administration experience yet. And think about that, enjoyable. We've basically made it from a single

single product. We've given you the ability to do so many things, right? It's great and manage all

of the on-premises as well as the cloud environments. Go ahead and make sure you can set up groups or

individual user security so that great data security and controlled access that you need for auditing

is set up. You can go ahead and then create data sets, certify them, publish them,

and do the same for dossiers or hypercards. And then finally, our new platform analytics

will give you the telemetry and real-time usage information you need to understand how to best

manage and optimize your environment. But just don't take this from me. Why don't we go ahead and

bring up on stage, Hugh Owen, to go ahead and take a look at some demonstration here.

Now, by the way, Hugh has set up a number of extreme situations. He's kind of a sports guy.

So you're going to see him challenge himself in many ways from doing things in minutes and seconds

to maybe breaking a sweat even in this whole presentation. I'm just seeing it up. Okay, Hugh,

what are we going to see here? So, Marge, you just introduced to everyone the powerful new

capabilities we have in Microsoft Cloud in Microsoft 2019 and in Microsoft's Workstation. So I want to

show you guys, and if we cut over to the demo on the MacBook, I want to show you guys just how

impressive the interface is for analyzing and looking at your cloud interfaces. And also just how

beautiful the administrative interface is for the Microsoft Workstation. So here we are. Here's

Microsoft Cloud. And one of the most powerful things in new things in Microsoft 2019 is I can

configure AWS and Azure from the same interface. It's incredibly easy. So let me go ahead and create

a new environment on with Microsoft Cloud for Azure straight away. So I'll call that environment

teams. I can configure where it gets configured. And now...

And a deep breath.

And a deep breath.

Yeah.

And now I have...

Slow down.

Yeah.

All right, got you.

You set the performance things up.

I was like, you know, it's like a marathon or a sprint.

So here I have alongside the AWS environment that I've already configured that Azure

environment that is now standing itself up. And I can see that existing cloud environment,

all of the analysis that I want to look at in terms of how the services are doing, in terms of how

the users are accessing the system. And I can use that information to make better decisions

about how I control that environment. And I have those controls directly in the same interface.

So here I can go ahead and schedule maybe starting and stopping environments or even resizing

environments. One of the most important things and one of the biggest benefits of cloud is the

ability to resize them to control costs, for example. So in this instance, let me resize it so I'm

not using the maximum amount of CPUs on Monday through Friday. But let me bring it down so it's

just on Monday. And I'm making that decision maybe based on the analyzing the usage figures

over the previous week. Great.

So I've made that change in cloud. One of the other new capabilities in my strategy 2019 is the ease

of bringing other collaborators in and giving them control over the environment.

It's as simple as typing an email, send that invitation, they get that email, and now they have

access to control that cloud environment that I just stood up. Cool. So what about workstation?

Workstation truly is a supercharged administrative experience that is beautiful and enjoyable to use

on both Mac and PC. Indeed. And it gives me a view of all of my environments and gives me the ability

to access information because we all know the more intelligence we have, the more informed decision we

can make with that intelligence. We have added a new capability in so you can share information

about your environments with micrarchies so we can improve the product based on how you're using it

with the ability to send us diagnostics. And we've also added utilization information throughout

the administrative experience. So here I've got the states of the topology, how you're using the

products, or even at the project level, at the application level, how you're utilizing each one

of the different things and it's just a right click away. But what if I want that information on

individual applications or individual dossiers? It's just as easy. One right click and I can get all

of that utilization information and it has never been this easy. But more than just looking at

the usage information, workstation allows me to manage and control a number of different key things

within my micrarchie environment. For example, a very critical thing that administrators do all the

time, security permissions and privileges. And you can now make all of those changes to security

the user level and the group level and even apply these new prepackaged roles that we've added

also in micrarchie 2019. So micrarchie Cloud and micrarchie workstation, beautiful, enjoyable interfaces

for controlling that environment. Awesome. How about a round of applause for that?

So what about the sessions? And again, enjoyable,

performance, Cloud and workstation. So we've got a number of technical sessions. Today and tomorrow,

the first one is going to be on both days, right? We've also then got a customer session from 31

gifts and we've got a workshop. Now the workshops, first time ever we've done this and in your

a little bit heavier backpack this year, you'll see the workbook book. So this workshop book, sorry,

workbook book, workshop book, the workshop book. Sorry. This has got all of the workshops in here

that are in the entire show and you'll be able to refer back to this, share with your colleagues

and we'll be keeping the environment open, I think throughout the whole month, right?

Yep. So you'll have plenty of time to go ahead and experience everything but please go to the

workshops as well. Then tomorrow we've got a number of sessions as well from technical to customer

to our tech talks and the tech talks themselves around best practices. Please go ahead and go over to

the services booth. So what about all of those decisions? Again, we talked about strategic

minutes, seconds. Let's focus on those strategic decisions right now and what is that all about?

Of course, it's all about analytics and it's about making every tool out there that you've got

deployed increasingly. A tool that you can actually sit on top of the most trusted platform

on the face of the planet, MicroStrategy 2019. One of the things that I couldn't be more proud of

is the Enterprise Semantic Graph that we have within the platform and what we've done now,

as Michael showed you, is opened up the Enterprise Semantic Graph to lots of other folks from click

to tablo, to Power BI and increasing your literacy, everything from data sciences platforms and tools

and so on. And we'll go ahead and show some of that also. Hundreds of new features for analysts.

When you look at, again, look at all of the stuff that we've got up here and we'll talk about

connectivity. You've got everything from NLQ to hierarchical reporting to the connectivity.

Literally hundreds of new features for all of the analysts out there.

And optimized connectivity. This is the platform that is connecting to in an optimized way, hundreds

of other new as well as existing applications. And you'll see tomorrow from Tim that we plan on

doing even more. So this is the platform that you can get any data set into

and be able to go ahead and get that analysis and that behavior out in the organization.

So what are we focused on here? Data discovery and application authoring. And when you think about

this, what we've done is we've done just a tremendous number of new things. We've got a ton of new

visualizations, all sorts of trees as you can kind of see here. We've also then, we say governance to

tablo click and Power BI, but it's also the Enterprise Semantic Graph now exposed to all of these tools

so that they can actually leverage them. And I'm going to show you that or he's going to show you

that in a moment. We've also now integrated with Mapbox, which is basically and the ability to go

ahead and give just a beautiful experience in terms of geospatial. And for example, you'll be able

to go ahead and just go ahead and filter on things and do all kinds of stuff with it.

We also are making it very easy for you to build out analytics through natural language.

And then finally, I can't even go through the dozens and dozens of key new features that we brought

into hierarchy reporting for those advanced analytics situations from financials to supply chain

optimization. This is the platform for you to be focused on from a hierarchy reporting standpoint.

Oops, let me go back one. Sorry. So Hugh, why don't you go ahead and tell us what we have here?

So if we cut back to the MacBook to look at the next demo, what I'm going to do is it's a very

frequently situation that people come across. An individual has built some analytics.

I'm going to enrich it. I'm going to connect it to some more data. And then I'm going to find

other ways to add additional value to it before I can share it on Microsoft 2019, but as many

people as possible. So here I am in Microsoft. You web. And someone has sent me an MSGR file.

So I'm going to upload that file into my Microsoft environment. And what I want to do is once that's

available to me, you can see here what I'm doing is I'm actually analyzing data that is about teams.

And it's for me a fun demo. I realize your head to be sports. I realize your American football season is now done.

But the football season is just getting interesting. And some people would say you might be

rooting for the wrong team. We'll come to that in a minute. But we all do analyze the analysis

here is not dissimilar from the analysis you do in the workplace with teams and employees within

those teams. And so what I want to do here is I have some additional data that I want to bring in

that happens to be in Snowflake. So I will search for Snowflake within the hundreds of

gateways and drivers that we have within Microsoft. And as I connect to this data and prepare this data

and blend this data, it's probably a good time for you to tell everybody about the data

that's on Snowflake playing a major part in. You know what I'd be happy to do that. That'd be wonderful.

Thanks you. So our data time, as many of you probably know already, is really focused on

highlighting the best work that's done over the course of these days by teams and by individuals.

And we've got just a ton of new things that we're going to do there too. You guys get to vote on it

from 4 to 6 today. You are going to have the ability to go ahead and also have a People's Choice

Award. Now I couldn't be happier to partner with Snowflake. Where we're at with this is we are

taking the charity-based data, hosting it in the Snowflake Cloud environment, and then getting all

of the imagination and the great ideas up and running. Now what do you get out of all of this?

We think we're going to have a couple dozen different teams competing. We already know that we do.

And the top prize winner gets $10,000. $10,000 and we'll also then have the Loan Wolf Award

and we'll have the team award. So our people's Choice Award. So we're going to have all of this.

Now show up from 4 to 6 to go ahead and get your votes in because we're going to be judging

on the floor and then we'll go ahead and celebrate all of this tomorrow. So Hugh, can I buy you enough

time to get going? More than enough time. So we blended what I just did is I connected to that

additional data. I used some visual tools to prepare it. I mapped it to my original data source

and now it's available for me to do whatever I want with it within my data discovery tool.

What I want to do is I want to add additional value. So I'm going to go ahead and

what is easier than dragging and dropping? Typing words into a Google search box and having

that question that I type create the analytics. So here I'm going to show me teams by points.

Because the teams attribute actually has some geospatial analytics in it, it automatically creates

this map. And so let me also show you how easy it is to build advanced geospatial analytics by

adding multiple layers into the maps. Because that's how we look at maps. We pinch and zoom, we look

at them at different levels. And so I can add that in. So I'm now, I've taken what the NLQ gave me

and I've enriched it even further. And I can go ahead now and add a variety of different nuance

controls to that to make sure that the end user experience is wonderful with specifying the

different layers. So I've enriched the data by adding visualizations. I've enriched the data by

adding the snowflake data. But what I want to do is I want to go even further and I want to start

looking into the future. So how do I do that? Well, I have data scientists within the organization.

I want to tap into their expertise and bring that value into my strategy. But they don't live

in our tool. They live in other tools. They use Python and R in the tools of their preference.

So here we have Jupiter. And here we have an integration that is brand new in my strategy 2019

where data scientists can connect to and pull data straight out of my strategy, add predictive

algorithms, add machine learning algorithms and publish straight back into my strategy without

leaving their tool either updated cubes or brand new cubes. And so I'll run this Python algorithm

and now go back to my strategy because the cube is already there and now I can add that cube

to the existing dossier that I'm already using. Pretty cool. And then those attributes and metrics

that came from that are just as easy for me to drag and drop onto the visualization in just another

section of this analytical application. But I want to go even further. I want to make the data that I've

just built accessible to lots of people, people who don't even use my strategy. What about people who

use Tableau or Click or even Power BI? So let's have a look at Power BI now and connect through to the

cube of data that I've just published on my strategy that trusted data that's available in the

enterprise semantic graph now and have within the Power BI data discovery tool connect to that data

and start to build out visualizations. So I authenticate into it because we obviously want to

maintain the security of the underlying data and I select the cube that we just built that included

the predictive algorithm. And I can start now going ahead and adding a variety of different

attributes and metrics and building out the visualization in Power BI and empower all of those

users. Nice. And with that capability, with the ability to let those users now access our platform

which is very different shade from any other platform, you're going to ask yourself when looking at

another tool WTF? Where's the federation? Thank you. I was a little bit offended for a moment.

Cool. So, Bill Well done, Hugh.

So what you just saw is a cloud environment being set up. You saw us go ahead and build

visualizations on a somewhat suspect set of data naturally through natural language. You saw us also

then make it so that we can reuse cubes, publish cubes, reuse them by third party tools, great tools,

and you've also then seen it how easy it is and how you can get that natural visualization.

Truly, it's federated analytics. The tools you love, whether they're micro strategy or others,

all the way on the platform that you trust. And with that, what I'd like to do is move on

to now highlight one of our best partners. And in fact, this year our technology partner of the year,

Microsoft. Microsoft has been, as you can tell, we've been active together, we've been partners

for multiple years, and we're lucky enough to have Judy Meyer here today. She is the head of the

ISV program over at Microsoft. And and less do you think that that's all, which is enough by any

standard. She's also got nine patents. She's an expert in AI and in cloud. And I couldn't

be more happy to invite you on stage, Judy. Come on up. Thank you. So Judy, you are an expert.

Congratulations. Thank you. And so we were so happy to be able to announce you guys as the

technology partner of the year. And we've got so much more to do. Yes, absolutely. And it's

such an honor to be selected as Micro Strategies partner of the year. And I think just the partnership

between Micro Strategy and Microsoft is just extremely complimentary. The number of times power

BI was mentioned, I had to be flattered. And thank you. Great platform. Yes, on a stellar platform.

On Azure. Great. On Azure. You're so funny. On Azure as well as Micro Strategy.

Micro Strategy. 19 platform. Okay. Thank you, March.

Why don't you tell us a little bit more about what you guys are doing and especially from

not only getting the whole foundation for data put together in Azure as well as from an AI standpoint.

Perfect. Thank you. Thank you. Thank you. We'll do. So, Judy Meyer, as Mars mentioned,

I run the worldwide ISV team for Microsoft. And today I was going to spend a little bit of time

with you talking about transforming business with data and AI. So let's just stare at this

tiles, all these tiles for just a moment here. And you'll notice there's a lot of digital

assets, digital artifacts infused in every one of those. Perhaps the exception might be that

person standing over there with a construction hat. And when you think about the construction

areas in industry, I think the last innovative thing that came out or invention that came out

were cranes. And since then, you think about it in just the last 12 months or so, just the rapid

accelerated invention innovation within the construction space, how they've transformed the industry

through AI through mixed reality. It's phenomenal. The world is changing. We recently went to NRF,

National Retail Federation, one of the key conferences within the retail industry. And it was

just amazing to see how our consumers are demanding change. So not only is the world changing, our

customers are demanding for us to keep pace with it, or outpace it. And that's where this beautiful

partnership between micro strategy and Microsoft becomes pinnacle right at the center of this,

because there's a couple of paradigm shifts that's motivating this accelerated move when you think

about data and AI. The first and foremost is data at the FB center of it. So we have 44

zettabytes in 2020, right data, just the explosion of digitally available data. And it's not

terabytes, it's not petabytes, it's it's 44 followed by 21 zeros, right, just this massive

explosion. And add to that, to that this ubiquitous compute power that cloud provides, right, 80

percent of organizations adopt cloud first. So this rapid ability to provide insights on that data

when you boost that power with cloud. Last but not least from an AI point of view, all of this thing

when you mash up data with the power of cloud, the transformation to bring artificial intelligence

insights into the system is just rapidly accelerated. When you think about the innovations in the

space of AI, initially we used to come up with creations or how are machines reaching human

parity on an annual basis, object recognition in 2018 from a Microsoft portfolio perspective.

And then now those accelerations and innovations have accelerated almost on a weekly basis,

right, weekly basis. So when you put this thing together, really the beautiful continuum is when you

put all three together, right at the epicenter, right at the intersection of data, AI and cloud.

So let's talk about data and statistics here. So nearly when organizations are able to harness

that power of the cloud, the data and AI coming together, they outperform, they outperform competition,

they're able to gain significant leverage among their customers. So then how, how do they do

that, right? They rely on a modern data estate. That's right in the center of this. How do you do this?

What is the modern data estate? When you think about powering this modern data estate with the cloud,

we're able to bring in reason over any data anywhere. So this is a continuous forum, a continuum,

right? Across reasoning over data, flexibility of choice, choice matters. I think it's been very

resounding when we think about all of these connectors that micro strategy has put in place.

The flexibility, the choice matters and security and performance. We cannot take that for granted.

We hold very, very, very high standards within the cloud to guarantee from a customer point of view

that we're able to keep it secure and perform it. Now lots of choices here, right, operational

database choices. We kind of think about boosting up this cloud through our Azure Data Service stack,

if you would. So operational data services on one front, Azure Cosmos DB, SQL Database,

in the center there, data warehouse capabilities, as well as the data lake and analytics on the

right hand side. And the beautiful thing of this equation is when you put micro strategy on Azure,

able to leverage all of this power that cloud brings to the table, right, each one of those bullet

points there where we talk about Cosmos DB, for instance, guaranteed high availability, high

availability with very low latencies. SLA is that we're able to keep up for every single one of our

customer implementation when micro strategy is running on Azure. And now all of a sudden you're

able to amplify and leverage all the strength, this data estate, this cloud power, artificial

intelligence infused into the system and bring it forward through micro strategy with federated

analytics, transformational mobility, and hyper intelligence. And I just love hyper intelligence.

It's no longer the case that we're talking about 10 clicks to insight. It's not three clicks to

insights. It's zero clicks to insights. It's just so, so powerful. So with that, I want to take a

quick switch here to AI. So when you think about boosting and creating this modern data estate,

from Microsoft AI perspective, we think about three imperatives in that space. So number one,

how do you empower organizations to transform industries? We talked a little bit about retail,

we talked about constructions. Each one of these industries have significant opportunities ahead

of them to go transform that industry. And that's one of the key imperatives that Microsoft when

we're thinking about creating innovations in the space of AI, we optimize for. The second thing,

empowering developers, right? We are a platform company. We have to have our developers succeed

on us. And that's one of the key premises we operate with. And last but not least, empowering

to transform our society. Because ultimately, we're all in this society to empower all of us

as humankind. And we've seen a lot of momentum around the Microsoft AI portfolio around AI,

just in general, about some of these innovations that I mentioned earlier, right? So in 2016,

object recognition, Microsoft AI portfolio helped us achieve human parity. 300,000 developers

creating digital agents on bot services. You can just see the demand around this, the momentum

around this, the significantly growing and it's gaining a lot of traction. When you switch gears

and start thinking about the customers that are within that space, tremendous success that our

customers are able to see through Azure AI, through Microsoft AI. One of the key things, an example

I love to talk about is a refrigerator manufacturer. Now, all of a sudden, the refrigerator business

is transformed into food managers. Food managers who are going to give me guidance on, what is that

grocery list that I should be going and stocking up on when I go shopping? And not only that, now I have

the refrigerator connected to the internet where it's going to say, oh, well, so I flew in here from

Seattle where we had a snow storm. 11 inches of snow. We never get snow in Seattle. We got 11

inches over the last 24 hours. And when we flew out, the refrigerator being able to connect to that

maybe last week and give me guidance that hey, there's a snow storm brewing, there's going to be

high wind and maybe there's a high probability that you're going to lose power. So maybe you need

to finish up, go through all of those perishable items that you have sitting in your refrigerator.

Just that intelligence infused into the system. And we see a lot of customer specific

customer stories are on ASOS, one of our online retailers in Europe. And they have created a

personalization engine that helps their customers think about, well, they're getting 5,000 or more

inventory coming in on a weekly basis. How do you serve that to the right customers at the

right point in time? Put the right shirt in front of the right consumer, right? It's so, so

powerful. And when they start leveraging the ability of having data and cloud and AI come together,

they're able to get 33 orders per second, right? 25% year over year growth. It's this tremendous

business impact that we're able to put together when you're able to leverage that space of data,

cloud, and AI coming together. So with that, Marge, I want to invite every single one of the

customers here, our customers here in the room, to embark on this journey with us, to empower

every person and every organization on the planet to achieve more. Terrific. Thank you, Judy.

So there are literally hundreds of you out in the audience, according to our intelligence,

that would suggest that perhaps as you're upgrading to MicroStrategy 2019, you might have

some older SQL as well. So if we can go ahead and look at doing that together, we're working together

for, with companies from Merck to others and you'll see a great presentation from those guys today

in doing just that. What are the sessions that we think you could look at here? Obviously, we've got

everything from machine learning and don't forget about the data thon and the prizes as well as

the judging from 4 to 6. And then tomorrow, we've got a ton of different customer

spotlights as well as tech talks as well. So really rich in terms of what we can do for the

analysts here. Next, let's talk about decisions in minutes. And decision in minutes are all about

getting that operational intelligence into the muscle of the organization as they're doing business.

So this is about how can MicroStrategy 2019 turn inside into action anywhere, anytime on any

device? So what's all new here? Literally hundreds of new features for business users. We've got

everything from great new advances in collaboration to even the mobile app, the mobile development

environment itself, being able to do really great responsive design, new features and performance

like intelligent caching or caching as Tim might say tomorrow. And more, let's go ahead and look

at what we've done from a dossier standpoint. Just like any ebook that you might use in the consumer

world, we can make it first of all that you can bookmark everything that you like within your dossier.

From a collaboration standpoint, we'll make it easy for you to collaborate with everyone,

but also then have real-time notifications when folks are trying to tell you about what's

happening or making suggestions for improvements. From a visual filtering standpoint, we'll make it

easy for you to go ahead and just use that view that you would do with pinching and filtering from a

geospatial standpoint. And by the way, if you want to leave and come back, we'll save that state.

Now what about library? Library is all about and you're going to be just blown away, I think,

once you see the experience here. It truly is, from my perspective, Netflix for the enterprise.

Now, maybe not all of the movie stars and all of that, but the star is your data and the star

are your analysts. So what we have here is, first of all, of course, secure data. You're going to

get personalized content. You're going to see the stuff that you should see from a security standpoint.

We'll make it easy for you to search for the right information. You'll get instant recommendations

based on the dossier you were just in. You'll be able to use this from an offline standpoint,

and we've got a fabulous new library app. So Hugh, what do you have for us here?

So if you actually go to the next slide, I'm going to show you these devices.

And then what I want to do is I want to show you just how amazing the dossier we built on web

looks on mobile. And how amazing and easy it is for me to navigate through all of these

different pages. Look at the analytics that looked great on web, but it's even better on mobile,

not just rendered, but how to interact with it. I can pinch and zoom on the geospatial analytics

visualization that I built. I can now page through various different pages of analytics.

I can even look at specific details of my teams and of the people within my teams and interact

with it by using visual filters, by using maps as filters, or high-dose filters off to the side,

and actually interact with the data by excluding certain values, or by drilling down to the underlying

data. But that's great for me. Michael spoke about the one-second performance with the amazing

caching capabilities. That newspaper about bookmarks, books marks are a key part of that one

second performance and that caching strategy on mobile. So I've gone ahead and created a bookmark,

but that's for me. I'm analyzing all of these teams and deciding who is the best performing team.

I want to collaborate with some other people. And so over here on the Android device, I'm collaborating

with the user Jessica, and I'm going to send her a collaboration that says, okay, let's have a

look at this analysis to determine who is the best team, for example. So we'll use the collaboration

capabilities that are in line with dossier. I'll store the filter that I just generated to look

specifically teams in my region, England. And I'll go ahead and then she gets the collaboration

comment and can launch in and tap on that filter to apply the same view that I was looking at.

And then maybe she wants to go and she's heard that Liverpool are particularly good, apparently.

And she wants to go and look at Liverpool matches and then wants to collaborate back to me.

As she collaborates back, I actually have an iPhone and an iPad. So why can't I get a notification

that these communications are going back and forth all on top of the live data? And as those

communications come through, as Jessica types that collaboration, as Jessica and Hugh in this

instance, continue to look at teams and who is the best performance, I've actually done some

strategic analysis for you, Marge. What a surprise. And I've decided that you should have a favorite team.

And so what I've done is I've gotten you a gift, but I'm not going to put it on right now.

I don't want it to be awkward. So what I did.

Just in case.

Is the higher number better or worse? You got to look real quick.

All right, so thank you. Thank you.

So what you just saw is, I think, an amazing experience to be able to power those decisions

in minutes and be able to do it on any device and easily, beautifully, and simply.

But let's go ahead and look at all of the sessions that we have here. We've got a number of sessions,

as you might imagine, with Apple, who is a strategic partner of ours within the company as well.

So we've got some sessions on Tuesday and Wednesday that I'd like to draw your attention to.

And then from a technical session and customer presentation standpoint, we've got two sessions

and a start pretty much right after this. And then of course you can go ahead and go to the services booth

to get some help and some advice on how to build out your enterprise mobility roadmap.

Then tomorrow, we're featuring a couple of customers, great customers, Coca-Cola and UHG.

And then we'll go ahead and also have a workshop there that of course you can find in your book.

So what didn't we talk about next? Yes, you guessed it. Decisions and seconds.

And hyperintelligence. Hyperintelligence is all about in microstrategy 2019 answers that find you,

as Michael mentioned and of course Judy highlighted as well.

This is just my favorite side. I always think about what are the nouns? What are the verbs of

business, right? And in this case, we're thinking about the nouns. Every time I talk to a customer,

every time I look at a presentation, every time I look at a Excel spreadsheet or a dossier or any

of the tools that I have, if I don't have hypercards turned on, I feel honestly a little bit naked now.

And we've been using this internally for a few months. And this is either from some of us getting

access to it and the rollout that we had across the enterprise. And maybe I'll just focus on

some of these cards. And you'll see examples of these throughout the whole show. I'll just focus on

customer for a moment. When you think about it, I've got my team, folks who are reaching out to

customers and prospects every day. These folks are trying to understand what would we say, what's the

right thing to say, what's the right thing to offer? They're sales reps, they're BDRs. They're folks that

actually are making outbound calls or taking outbound calls. Making meetings or taking meetings.

And how can you have the right information? And from many, many different systems, come together

to go ahead and give you that dream card. So think about it as you're looking at any application

today, whether it's on your phone, whether it's on your desktop, and you're going from outlook,

you're going from one of your enterprise apps to whatever. Think about what at that moment,

could you go ahead and supercharge the experience with? Because if you could go and look at the four or

five different dossiers or find that one report that you know had that information, what would happen

if somebody with smart enough in your organization to already have thought through that for you

so that that best practice from your best rep from your best employee can be repeated over and

over and over again on any quote unquote noun. And we'll make it really easy to do and he was going

to show you that in just a moment. We've got pre-configured templates. We've also, as you've seen,

got many, many data sources that you can go ahead and easily connect to. We've got the ability for

folks to think and look at multiple cards in different environment or in the same environment.

And we can go ahead and make sure that this is all secure and personalized. Such that you can have

the super secret card all the way down to the public card and go ahead and have that same security

model. So this is all terrific. Hugh, why don't you tell us about it? I'd love to be

much. So if we jump back to the demo. By the way, this is where it gets pretty crazy. So just hold on.

One of the most magical things about hypercards that dropped me pen, you made me drop my pen.

One of the most magical things about hyperintelligence is how effortless it is to consume it.

But I also think one of the most magical things about hyperintelligence on hypercards is how

easy it is to build it. So here we are back in workstation and I can right click on any one of my

datasets and create a new card. And we pull out, pull in all of the attributes. Here we've got

attributes about extending from the previous example about players within the sport. I can specify

the synonyms using, so to increase the matching capabilities. And I can start dragging and dropping

the metrics directly onto the card. Isn't this called? Easier than ever building a dashboard.

I mean almost magically easy to build these cards. I've obviously got controls to change the colors

and change the templates and add a footer and make them compact and add additional information to

the bottom of the footer. And they're also easy ones built to deploy. So here's the card that we've

built on a person, a player and employee. We go ahead and save that as an object into the

mic strategy 2019 environment. And what do we want to do? I want as many people to have access to

this as possible. So we're going to go ahead and we're going to specify that using the controls in

workstation, I'm going to give access to everyone in my organization to this card and the underlying

data. And then I'm just going to go ahead and once I've given them access, I'm going to certify

the cards so it comes up in their interface. And actually for every single one of you who

downloads mic strategy hyper intelligence from the Google Chrome extension store, the cards that we've

just built are actually available to you as well. So you can go to Google today and with the extension

store, you'll see you can turn those cards on for football player and football team and go ahead and

search any term you care about, such as, you know, for example, Mo Salar, and you instantly get

the hyper intelligence without even having to go to our website. And then once you go to any

website, you've got those hyper cards here we've got players and teams or companies or universities

instantaneously. It's almost like retargeting with intelligence for the enterprise.

But as Michael said, hyper cards and hyper intelligence on words, an email on words and websites

is just one of the many sites of applications. So I've got a demo here where I can put hyper cards

on the buildings and places you see in front of you. But I bet you you won't do that here.

Well the problem is the room has no windows. Give me a second.

Okay. So why don't we go ahead and follow? He's journing.

Yes, there we have you. He is a runner every day. He's going up to the rooftop and look what he sees.

He's able to go ahead and look at all of the buildings in the area from the stadium to where we're

going to have our party tonight, the doose. But he's going to come back because he felt like

running again and he was preparing and so he's running and running and running and running.

And he's finally back here. Well done, Hugh. How did I look? He looked fabulous, didn't he?

So why don't we go ahead and Hugh, I just can't thank you enough for all the work you've done

on stage and you made it look effortless even the running part. Let's give him a big hand.

Thanks guys. Great. So now it's my pleasure to bring up our global SI partner of the year,

Cognizant. We've had a long partnership with Cognizant and the amount of resources that they've

put to work already on Microsoft and MicroStrategy 2019 is amazing. And you're going to see that

they've got a great focus on AI as well. So, Karthik, can I welcome you up here please?

I know you're coming from behind here. Karthik. Hello. Hello. Yes, we see again. We see each other again.

We've seen some time. Yeah, exactly. So Karthik, first of all congratulations. Thank you. Thank you.

Super excited to give the award, but more importantly, celebrate the work that we've done together

with all of our customers here. Absolutely. March 1st, thank you for having me and having Cognizant

and everybody. Good morning to all of you. Hope you guys are enjoying the weather, especially my

friends from the East Coast. Take a little box, put it inside and take it with you if you can.

Great. It'll help. But again, on behalf of Cognizant leadership, let me just say thank you for the

award. I think Andrea Firms, our joint commitment to our clients and I'm excited about that.

Yeah, so very excited and thank you again. So, Karthik, can you tell us a little bit about your

practice and a little bit about Cognizant in general? I would love to. I may need that. You might.

All right. So, I will spare you the detail of who Cognizant is. We do have earnings this week.

I'm going to stay away from too much detail. But I will say this, Cognizant's heritage was in data.

We started doing work with information services companies where we monetized their data and

helped them build revenue streams around it way before data monetization was even a fancy term.

And through that experience, we built one of the largest AI and analytics practices in the world

with over 40,000 people dedicated to this space. But more importantly, over 6,000 of them are focused on

our artificial intelligence. But here's where it gets interesting. You could do all the AI and

machine learning that you want. But if you don't have the right channel through which you're actually

delivering it in the right context at the right time to the individual, it doesn't matter.

And that's where I get really excited about some of the things that microsrategies been doing,

especially around microsrategy 2019 and their investments and your investments around

hyperintelligence and hypercods. Because through hypercods, I believe we can make that real.

If you take an example, look at what's happening in the retail industry. The retail industry has

been talking about hyper personalization for a really long time. Being able to take specific

products and delivering that to consumers in a highly personalized manner, keeping in mind their

need and their context. I think through what we can do with hyperintelligence and more importantly,

the hypercard investment, we can take that same concept and bring that into the business world

for our business users, for our employees, and everybody. And that is really exciting for me

and for my team as well. And it really aligns well with our worldview around human centracy.

Great. So why don't you tell us a little bit about your human centric approach?

Fantastic. I thought you'd never ask. I figured.

At the core of our belief in human centracy is this statement. We believe that all business

decisions are bets on human behavior. Let's unpack that for a second. A marketing campaign is a bet

on someone responding to a message. A bank loan is a bet on someone paying back their debt.

Now in our world, we've always thought about it through the technology centric model. We've

thought about database models. We've thought about SQL query optimization. We've sort of thought

about things through that view. But as we bring the human centric view to the work that we do,

especially in business intelligence, we start to unpack the psyche of the business user. We try

and understand what she wants, what matters to her, when does it matter to her, and how can you then

deliver intelligence and insights in seconds at the point of decision making? And that's what

human centricity is all about. And that's what we get excited about around human centricity.

And so today we're already putting things together out in the field. Correct?

Yes, we are. Yes, we are. And it goes back to our readiness around micro strategy. So

over this year, our plan, and we are on course for this, is to have over a thousand people

certified on micro strategy at Cognizant working with our clients.

And it's our commitment to all of you to be able to bring those skills forward and engage with

our customers. So that's number one. Number two is in terms of what we offer our clients,

we are taking our solutions and our offerings that we have, and we are bringing in hypercards

into many of them. So that clients can actually see that value. And finally, in terms of the

journey that we can help our clients take. And that's where our migration frameworks and

methodologies become relevant. And back to what Margie said, over the last four weeks,

we have already helped one of our customers in the insurance space go live on hypercards.

Pretty cool already. Yeah. And the early feedback is they love it. So more good things to come.

That's great. Well, we can't thank you enough for the partnership and very much want to put to work

all of our joint practices together. So thank you so much. I'm looking forward to it. Great.

Thanks, Carthick. Super.

Okay, so what about the sessions around hyperintelligence? We've got a number of them today,

and of course you can go ahead and go to our services booth to go ahead and see exactly how you

can change your business with hyper. And more importantly, schedule your upgrade today across

MicroStrategy 2019. Folks, I think what you've seen, and you won't just have to hear it from me.

You're going to hear it from a few customers to shortly here. I hope you've seen that we've got

truly a modern open enterprise platform for any decision style you need to make. We're opening

up our platform, the most amazing and advanced semantic layer, our enterprise semantic graph,

to any tool that's out there, specifically to the top tools from an analytics standpoint that you

know and love in addition to our own. And we've got great new mobile capabilities, and the breakthrough,

and honestly, industry is only hyperintelligence. So please go ahead and schedule your upgrade today.

We couldn't be more excited to go ahead and make that happen with you. Okay, guys, so MicroStrategy 2019

is truly the biggest analytics breakthrough in decades. But again, I said you don't have to,

just believe me, why don't we go ahead and bring out Susan Cook who can go ahead and

help our customers tell you a little bit more about how they're experiencing today. So Susan, can we welcome you on stage?

Great. Thank you, ma'am. Thank you. There you go. Good morning.

Happy 2019. I'm so happy to see you from all of your sales team at MicroStrategy. Thank you for being here.

This is all about you. Without you, we would not exist. So we want to celebrate you this week. Have a great week.

But I am blessed and privileged to have three of you on stage with me, three of our best customers. So gentlemen, thank you very much.

Thanks for having me. Thank you. Well, I certainly can't do you justice. So I will ask each of you just to talk a little bit about you, your company, et cetera. Brian, can I start with you?

Sure. So my name is Brian Clatt. I'm the VP of Sales Management Products at NBC Universal. So NBC, as I'm sure most of you know,

we're one of the largest broadcasters, cable companies, digital properties. So my group sits in between our sales people who are

outselling the commercials that you guys all want to skip through when you're watching your content and the IT group. So we're responsible for building out the

applications, some custom, some using MicroStrategy that our sales people use on a daily basis. Awesome. All right. Good morning. I'm Artla Bay. I'm Dutch living in Adelaide, small country in Europe. You might know, pretty well known for a lot of good things.

And of course, also few not so good things. A couple of years ago, three years, I switched company. So from McDonald's European headquarters, I joined a company that's called Fisland Compina.

Fisland Compina is a global leading dairy company that is well known for a lot of dairy products in Europe and Asia. We're also doing a bit of business in the US selling, you know, the best tea you can imagine.

A little summary about our company altogether. We are 14 billion, one four turn over altogether, 20,000 number of employees. What makes it special? We are a cooperation. So our company is owned by almost 20,000 farmers throughout Europe. And guess what? They have a lot of cows. So altogether, 15 million cows. So milk is our key ingredient.

A bit about myself. And I'm leading the global data platform, business intelligence and analytics team. So in that respect, I'm communicating, innovating with our holding company together with our local operating companies across the globe. Also partnering with our senior management, ultimately, sure that we become data and insights driven company.

Perfect. Thank you. Jason.

I'm Jason Pelke. I'm the senior vice president chief information officer for Gilbane Building Company. Gilbane Building Company is one of the largest privately family run construction companies in the US at about 6 billion. We're proud of the fact that we've got the seventh generation in our company running it. 143 plus years old.

We're doing general construction and real estate development. So it's my job to change the opinion of the construction industry and leverage technology to make it run differently.

A very innovative company, Judy, that highlighted construction. Yes. Great. Okay. Let's, we want to focus on looking forward, but just a level set. How are you currently using micro strategy? So Jason, let me start with you.

So we started with micro strategy eight years ago, and we, as everyone has been using it in the traditional manner, we, we do reports, we have dashboards, we get the analytics out there in that traditional fashion.

And so we've grown with micro strategy over the past eight years. And so I'm really excited about what we're doing in 19. Great. Great. Art.

We do quite a lot. So let me summarize. So also based upon a rather successful usage of the micro strategy platform with my previous employer, my Donalds, we were able to implement micro strategy also within my current company, free-song company.

So we went live just over one year ago, and I'm extremely proud on the tea. So thanks for doing that to have and drive adoption with over a thousand end users as of today.

And we're planning to double that in the next six months. So altogether, we do have right now a sustainable platform. You have a scalable platform that is both speedy as well as secure.

So we support for the time being the most still not all of our key business processes around supply chain, finance, operations, and a few others. Also as a last month, I'm also key that we have launched a global people analytics solutions on our micro strategy platform.

Quite relevant, as you can imagine, for a company that is having over 20,000 employees.

Great. Great. Brian.

Yes. Within the Ed Sales Organization, we support about a thousand users. And we use micro strategy on top of our data warehouse, which is a lot of traditional reports, dashboards.

But we've also embedded it a lot into our custom based applications. So the sales application that my team supports, all of the reporting is done within micro strategy.

Right. To the end users, they may not necessarily realize it because the way that we've embedded it within the tool. And then about three years ago, we used the micro strategy for mobile, for the iPad, and the iPhone.

And then recently, we're starting to embed it more within Salesforce and other applications so we can get that single version of the truth out to users where they need it.

Great. Great. So we were able to watch backstage, Michael's keynote and then margin hue. We saw you running by. He was amazing.

So what is exciting to you about what you're seeing right now in version 2019? Art, let me start with you.

Yeah, thanks. Yeah, a couple of things I would like to call out. First of all, most the what I call the continuous focus on getting a bi platform in place rather than just, you know, an individual bi point solution.

That's definitely no mind number one. God, that makes it scalable. That makes it sustainable in the long run.

Second thing it all relates to the enhanced features of collaboration. As you can imagine, working for a company with 20,000 employees. It's, you know, incredible important that you all work together.

And I'm rather sure that's relevant for a single company that would like to drive success working together across the different functions, the different domains, marketing, finding supply across the hierarchy from the analyst to management to the exact level, as well as across the different operating companies.

So I'm rather sure that, you know, collaboration will be big help in getting better in doing that.

And the final thing I would like to call out is what I call keep the team because as you can imagine in McDonald in Europe where work for does an increased, you know, interest in all different type of behind analytics people.

So I'm really glad that Market Strikes is a platform that is state of the art that is really connecting through all the different kind of technology that you can imagine.

And that makes it, you know, interesting for my team. So we can keep triggering them. They can keep on learning. And that will help me and our company that is stay ready are within our current company.

Great. Great. Brian, how about you?

So, you know, to me, I think the federal, the federated analytics is going to be huge, right, as much as we try to get all of our users using micro strategy, we still have some tableau users, some power BI users, some other BI tools out there.

One of the biggest challenges when I got to NBC seven years ago is data was inconsistent between reports, right. I had an SVP come to my desk, put three reports on my desk and tell me which one is correct.

Right. So I tell my team all the time, I'd rather be consistently wrong than inconsistently correct. Right. If everybody's looking at the same numbers, we're all making the same decisions together.

So I think the federated piece is going to be huge to allow the people who still want to leverage a tableau to be able to do that. But at least we know that the data is going to be accurate.

And how do you think that's going to drive further adoption? If you kind of allow people to stick with the technologies they're comfortable with, tell me how you see that driving increased adoption.

Yeah, I mean, I think a lot of it is like you said, people are used to different tools, right. Maybe they've used it at a previous employer. Maybe they've used it at other roles within the company, right.

And getting them to learn a new tool can be a little bit of a daunting task, right. Whereas this way, they can still use what they're comfortable with. But at least from my standpoint, I know that we're all looking at the same data in the same way.

And you don't have to be the bad guy. You don't have to be the evil guy that rips it out of their hands.

And Jason, how about you? What are you excited about? For me, it's the hyper intelligence. It's, you know, I've long had the dashboards and the hardcore users will go to the dashboards and they'll read the analytics.

And, you know, but I've got guys out in the field building buildings and they're not going to take the time to go find that dashboard, even though it has that information, they're going to use their gut.

And so with the hyper intelligence, I can make the data work as part of a normal flow in their day to day life. I mean, they have to do it. They have to look at a drawing. They have to look at something. And if I can put that data right there in front of them, they'll use it. And they won't even realize they're doing analytics.

It's funny. Jason came to our headquarters in Washington, DC just a few months ago, actually. And we were demoing hyper. And it was almost like the cartoon. I saw the light bulb go off over your head.

But you've had that same experience with your users. Talk about some of your operations, folks, and their experience.

Yeah, so I mean, I would encourage if you haven't signed up for the quick installation, I'm drawing a blank on the name.

Advisory around hyper. Yes.

If we can do it, you can do it. We did it. And we were up in a week. We had hypercards going. I pulled in three of our operations teams. And now I've got to expedite the upgrade of the overall platform because they want it so quickly.

So the impression was too bad. Yeah. The impression was wow. You know, why can't I get this tomorrow? So it's there. It's real. And it's going to impact the way that they do their everyday job because you're not making them go get it.

You're pushing it to them at the point of need. What's the use case? Tell me kind of exactly how they might use that.

Well, in terms of our sales team, you know, we were talking about this in the back. Sales teams will learn about leads and somebody who might want to build a building and they'll go out.

And the first thing they're going to do is they're going to Google search it. They're not going to go to our CRM to look them up.

And so right there is an opportunity to present to them the fact that we've built for this client or their parent or subsidiary, you know, 15 years ago when they weren't with the organization and provide them with that data, which enriches the conversation.

And they already know us and they're already familiar with us. So it helps the sales generation process. The teams out in the field are looking to staff jobs and you want to put the most qualified people on every single one of those jobs.

And so you have a list of who's available or who's coming off other jobs, but you always wind up having to go back to the HR system to find out who did they work for, what's their skill set in the background, you know, and merging those together without having to create a monolithic application that has all the various permutations is going to be significant to them.

Brian, you want to add to that?

Yeah, and you know, as we've been looking at hyper, you know, our use cases is in a similar vein where if one of our salespeople is in our sales force instance, right, and they want to see more information about a client right now, they're going to another application to run a report where we want to just be able to pull that data in, but also more importantly, we don't have to go to get a development team to move the data from one system to another, which then again, you know,

it leads to potential error, right, and it's just all there at your fingertips.

It's been our primary use case internally. I'm not. I'm a salesperson. We are known to have kind of a short attention span. So this is a perfect solution for us on top of sales force.

Okay, Jens, what do you see next? Take the next two to three years in analytics. What are you seeing? What are you looking for? Art, I'll start with you.

Yeah, first of all, I agree that we always have to make sure that we plan out for the next, you know, a few years rather than the next few months.

And nevertheless, although there will be also continuous involvement in BI analytics, I also truly believe that those cornerstones that at least I've seen, you know, during the last 10 years that are still relevant today, and they're also still relevant in the next few years.

To cloud a few, the ones that I've already mentioned, you know, they have a sustainable platform in place to make sure that it's secure, that it can be skilled.

So those components are there to stay in the future as well. Well, I'm seeing, and that's definitely the case, you know, in Europe that the lines between the different analytics functions will further blur.

So the role between an analyst, as data scientist, but also a casual user within our company will come closer together.

So in that respect, it really makes sense to ensure that you have one data platform. Therefore, we call it within our company Source One together with, you know, a BI stack on top.

It's likely federated on that can help all those customers in one go.

Great. Great. Brian, how about you?

Yeah, I mean, I agree with everything that I'm saying, and I think a lot of it is just getting people that data and the answers that they need in a way that they're used to.

I mean, if you think about in your personal life, how you use an Alexa or a Google Assistant, right? And why can't we do those type of things from an enterprise organizational level?

Right. We're actually working on something right now where we're integrating Alexa with micro strategy so that just using that natural voice, somebody's able to get the answers from our federated data platform and make the decisions that they need to make.

And you were telling me backstage about what you're trying to do with your sellers, rather than traditional paper proposals, just arm them on their iPads.

And I think that they just give them the information that they need, whether it's, you know, Adacea, whether it's importing the data into a PowerPoint because they still love their PowerPoint, but just giving them what they need at their fingertips.

Great. Great. Jason, what do you see?

I agree. I see that, you know, choosing fewer strategic platforms, as we deploy more and more IoT out on our construction jobsites, that's a wealth of information that can come in in the analytics are just going to merge into that.

And it's just going to become, you know, like today, you get in your car and you don't think about looking up the route home and whether there's traffic congestion.

It just happens for you. So the more we can leverage the data in the normal flow of our lives, even in the workplace, I mean, it's already there in the personal space, it's going to be more advantageous to us.

And that's where everything's going.

Business decisions, like turn right, turn left. Those are sub-second type decisions sometimes.

Gentlemen, thank you so much. This was exactly what we were looking for. We appreciate you so much.

What do you think? Pretty impressive, huh?