Microsoft PowerApps and Power BI: The future of Business Apps through Industry - BRK2055
Ah how's. Everybody doing, good. Hope you're having a good so as you can tell we got a couple of demos so a couple minutes to set up apologies, but we won't we, won't run over this this sessions mostly, Show and Tell hope. Areas having a good couple days my, name is Steve Guggenheim er I spend. Most of my time with. Is v's working, on new solutions and new areas and, about half my time on artificial intelligence just. Overall across the company this. Session is a bit of a unique one we. Wanted to show you some of the work we're doing to extend, the. Common data model and the platform, for a couple specific industries not, necessarily. Deep dive you. Know on automotive, or on financial, services for the purpose. Of being, subject matter experts in the room but, more to show how you can take the platform and extend it pretty much for any industry and then the work we're doing in conjunction with ISVs. Sis. And customers, to start building these accelerators, per industry and, so that's the intent. Of the session if that's not what you're after then you know feel free to to, tune out a little bit or whatever whatever, makes you happy for the for the next hour the. Background. I've been at Microsoft for about twenty-five years so, I've built, and run ecosystems, including our hardware in our software ecosystem this. Is a fairly, unique set of tools that were working on I'm, gonna set this up just frame the conversation, from. A developer, perspective and. Then I've got my two colleagues James, and Smith who are gonna spend about 15 to 20 minutes each walking. You through a couple of customer, journeys so, you can see how the pieces come together so that's our our our, will probably take 45, minutes and, and, hopefully, it works I I, get. You know bored, a little bit if I don't have some random video at the beginning of a session and, this one's a little tougher I had to go searching so when you think about line. Of business apps, and finding things to remind. Us about the journey we've been on and where we started, it, takes a while but we found one so, this video is just to set context, to say we've been all collectively, at this for a long time and as, we move forward you want to remember from your past so hopefully. It resonates for a few of you who are from Meijer. Whether. It's IBM, RadioShack. Apple, or any of many personal, computers, they all have one thing in common software. From, Microsoft. Microsoft. Developed, a computer, language for micro computers, called ASIC which, made possible, the personal, computer, revolution. 80%. Of personal computers, are sold to businesses, now, for the first time knowledge, of computer, language, is no longer necessary, to do financial forecasting. Thanks, to multi tools expert. Systems, this. New software asks simple. Questions, in plain English using. Just a couple of keys a complete, financial picture can, be entered into Microsoft, spreadsheet, called MultiPlan, then. Change, a variable and you can instantly, see the implications. Sorry. I just couldn't resist, and. There's. Sort of a good news and a bad news to that particular, video the, good news is we've made a lot of progress on the screens and the computers. The, bad news that some of the back-end infrastructure, hasn't changed as much as we'd like but we're, in the process of that the I love. This picture this is a sort. Of four generations, or four decades worth of customer, care and. While the the, software, is obviously. Changed in the ergonomics, on the 2015 or just you know and much, more impressive and comfortable for the workers the, notion of forms over data has been the model for a long long time and so, whether it was on a green screen or a brown screen or, an early PC or sort, of a modern tablet, forms. Over data, has. Been the way in which line. Of business solutions, have been built and the whole. Conference here in the whole set of work we're doing is to change that we're. Entering an era where the growth of data means we have to get out of that model because ultimately we want to use the, data. Itself we. Want to take advantage of machine learning and AI and other tools to. Move us into an era where things are predictive, and proactive, and allow for much better experience across, a customer, journey we're all sort. Of striving for this every industry that I work with you know every customer I work with we're trying to get there bit by bit and so we're, trying to do our part as we go forward I like, to look at sort of both, the challenges, and the opportunities. From the developer, perspective you. Know we the. Good news is look, we've got a growth, of devices, there's, more and more devices. That we can work with, we. Have more people who are able to actually contribute, to the development environment there, are more tools for subject matter experts, a lot of what you can do with the power platform.
Doesn't Necessarily, require a. Dev but now, those tools can be used to actually, contribute into the overall model the. Environments, are changing we're all sort of either moving to the cloud or in the cloud or some hybrid model but, the one that I sort of drew the biggest box around is data we've. Moved from, databases. To, data. Warehouses, to data lakes I I tend to think we're heading towards a tidal wave of data between, human. Generated, data and sensor. Generated, data and we need to be able to take advantage of it we have a new set of opportunities to leverage it and. Leverage the capabilities whether. It's mixed reality or artificial intelligence or blockchain. There's. A new set of tools we want to use we want to leverage the data and so, we've got to get to a model, that allows us to do this in a better way and, that's, what the conversations, been, around about, around common data model common. Data service, the the, forms over data model, that's what we've sort of grown up with for, most of us we have somebody. Either, answering, a phone or sitting on a computer taking. Some information, filling out a form and it sits in a database if you're, a large company then what you do is you create a layer on top of that you try and suck all the data up you try and do something with it to make it usable you build cubes you handed, it you know you have people who are experts at this and on. And on and on it goes and that's the part, we're trying to change we're trying to get data ingested, at the beginning, in such, a way that it can be reused across, different. Roles and across different scenarios so if we have somebody in customer care that, takes a call and has, some information that information can be reused, whether it's in product development whether. It's in supply chain management wherever, it is in the organization and, that there, are you know hundreds, if not thousands, of startups who are think they're pulling this all together there's, you know customers we're working with and so, the, work we've been doing on the platform to. Pull out the data model, and some, of the tools power bi power, apps flow, so, that we have a common, framework for line of business apps that, then we can build SAS services on top of that's, been the journey that that we've been on and that's the work we're trying to do with developers, from, the top, level perspective this is the picture, I'm sure James showed yesterday whoops. Builds. Love, builds which. Basically says look we have all this data in the center we, want to add intelligence. Around it and we want to take each one of these loops that we all work with and, essentially. Use the data to inform them so on the product development side you want to have telemetry, coming from the products that can be reused to make the product better on customer, care you want to take obviously the insights you're getting and use it to make customer care better but, as we get good, at this what we really want to do is be able to take the insights, from customer, care and directly, feed product, development, or directly feed sort of the work we're doing with our teams and so this, notion of silos. Of data whether you take a data view of it or whether you take a business process view, of it we're. Working hard to get out of that and what it enables over time is customer journeys and. The work we've been doing to separate. The data, layer and. The platform, is the. Core of that so when we think about the common data model it's about creating a consistent set, of way of looking at the data so if we get quote customer, coming in from the customer, care department, and customer. Coming in from product development, the. Data goes into the the. Data repository. Whatever we're using in the same way so that we can reuse it across all the scenarios so, the work we've been doing with power bi and power apps and the common data models to pull that out and.
Then Build scenarios, and, solutions on top of it now one. Of the tricks then is to tart to extend this per industry as we build a common data model we look at the things that are truly common, across industries, but, if I pick a specific industry, we've done healthcare, when we've done public. Sector where, today we're going to talk about financial services or, or. Automotive they, have different entities in healthcare, we might think of patient, or doctor or medicine, it doesn't need to sit, in the overall common data model because nobody, outside of that industry would use it but for that industry gosh, if we want to have is fees be able to work together and build solutions, or sis you, want that set of entities that are unique to that space to. Be consistent, and so, that's sort of the journey we're on we start with a common data model now, we're working with our, colleagues in the industry some of them are here to, try and start building the frameworks, for the different industries and, that's the, conversation, today so, we've spent some energy on. Essentially. Extending, the common data model for, specific. Industries going. With the standards, as appropriate, almost every industry has a set of standards, around data they have standards, around security. And privacy in other areas so we want to make sure we follow the standards as. We. Build these out we, want to provide sample, apps and sample code so we put all this out on get make it available so people can build on top of it and add to it and. Then, last but not least we want to do it with the community we're generally, not subject. Matter experts, in industries we have people that work in the industries we work with our partners but there are ISVs. There are customers, and there, are system integrators, who do this for a living and so we want to do is facilitate here's, the framework and then, work, with them to figure out the right models the right entities in the sample code that everybody, in the industry can then use and so.
That's Where we're at we've spent some time we've done a few of these these. Aren't in this particular order but we've done healthcare. Already it's available today we've done one for public sector there's actually a session this afternoon that's gonna focus on that, we've. Done one for higher education we're, working on extending that there's. Two new ones that went into private preview, at build one, was on financial, services both retail and commercial and one was on automotive not. Actually tracking the car itself per se but actually the supply chain customer engagement, side of it which. Pulls in data from the, car and the itself. So, today we wanted to take two of these and you. Know sort of walk through the customer journey and show how once the data is essentially. In a common framework, how it allows for the different roles to connect together and the different sort of scenarios, to play and so this is a show-and-tell session, that, was our tee up for it what, I'm gonna do is hand it over to my colleague James who's, gonna spend some time on the banking one first James. Didn't gonna hand it over to Smith who's gonna spend some time on automotive, they'll. Take their time since we got plenty of time here and, show-and-tell manner and then I'll come up and wrap up so that James, awesome thank you look at night I'd, like to say this is the, first time I see my, team in suit coat so it's very nice. They're developers, by trade so that's a rarity we gotta sink it out occasionally he got to take a James. Calvin I work, on these industry accelerators, so I'm super excited to be in front of you guys today talking, about our banking accelerator. As. Googs, mentioned, we came out with the. Private. Preview of it at build a private, preview means we work with a closed set of customers, with partners some of them are in the audience, and. We get requirements. And we build out the model and. I'm excited announced we're going to be going into public public, preview and. Today. And so. Anyone, that wants to see, what I'm gonna show go please, go to app source you. Can see the test-drive experience, as well, as if you want to participate in the public preview program there's a form you fill out and we'll get you in. So. The. First thing I want to set up is the context, of. We're. Doing a lot within Microsoft, around banking, around intelligent, banking, everything. From, financial, crime to, payments. To. Managing. Risk to empowering collaboration. Working with our Microsoft, 365, and, office 365 teams. But. Really today the banking accelerator, we're gonna be focusing on delivering that, customer. Customer, experience, that differentiated, customer experience, of the, underpinnings, of all of these pillars is data, and so, the work that we're doing with the banking, extensions, to the common data model are, going to show up in many places not just in the customer, journey and the customer experience but. As we work with our colleagues, as we work with our, office. 365, colleagues, in, surfacing. That data in new. Ways around payments, around risk around fraud. The. V1, priority, again this is a first, version so I know if you guys join the public preview the first thing you're gonna ask anyone. Our partners here as you're missing this we, understand, we get it we wanted to start small we wanted to get a small model out there make sure we get it right hits. Some primary use cases and so, the first v1.
That. We're going to be delivering is around the customer experience customer, insights. Bringing, an AI power, bi as well, as connected, scenarios that's, one thing that we've learned, the power of this data model and the power of the accelerator, really. Spans outside, of just dynamics 365, just outside the power platform, so, what we're doing is we're doubling down on the connected experience, so you can use this accelerator, and see, it show up with. Microsoft, 365, teams, and proposal manager with. Azure with. Azure data Lake with AI we, want this to extend and we want the accelerator. And the tools and the samples that we showcase to, show the power of Microsoft and the power of our ISP and partner ecosystem. So. Again. We've been in private preview and we're announcing the public preview today, Vera. Perks here and some, of them the audience if I serve I see, you David over there and. Wealth dynamics isn't, here today but. They've been three instrumental. Partners. That we've worked with and getting, feedback, on. The model they've. Been great partners with us making sure we guide us, while. You, know we do have financial services, and banking expertise, within Microsoft. Leveraging. Kind of real world, you. Know boots on the street selling our. Solutions, to banks they've given us a, fantastic. Feedback, and what we should include how, we should model this. So. I want to get to the demo I'm not much into slides at. The top, so. The, model includes a lot more than what we're showing on the left the, picture here is Betty Welch who, is going to be the persona that we're using she. Has both a retail, experience, with contoso Bank as well she has coffee, Inc which. Is her small business and she's looking at expanding that so. The journey that we're going to go on is through, a mobile experience. So, a, mobile. Using power apps a virtual, agent, a retail. Experience, because she's going to interact, with the bank from the retail experience, referral. Sharing, over to the commercial side seeing. How a unified, data model can span all of that in a unified data model experience, and then, since Vera, perks now building, on that model, and on the accelerator, I want to showcase real quickly one of the ice bees that have built on it and, again. The model includes a lot more than this but, Betty you can see that the models very much around the contact, or what we call the person. From the company side if you're familiar with dynamics, it's the account entity, or, what we call the company oh. Oh. All. Right let me go back all righty let me switch it over real quick. Wake. Up my computer. All. Right so, I, do have this running as a power app so, again, the experience is. Didn't. When I go ahead and plug in but.
Fantastic. Power apps quickly you can build applications. Quickly, we've, designed the accelerator, so, that the data model you can use works. Direct, directly, with the power platform, node no dynamics, dependencies, as well, as if you want to use the. Dynamics, applications, the, accelerator, builds, so, it allows you an entry point whether you want to use analytics, whether you want to use power apps whether you want to use and extend dynamics. The. The accelerators, that are for you and allows multiple ways of doing it so this is just a power app experience, I'm, the relationship, manager I'm now on the bus, Betty, Welch's next to me we're riding in we start, up a conversation. We're. Talking, about what we do I mentioned, I work for contoso Bank and Betty, has a relationship, with contoso, Bank and says oh that's fantastic so, she's. Like oh you know I'm trying to get a better return, there's. Lots of you. Know tariffs war going on interest, rates are going up and contoso, Bank says you know what we have a fantastic new CD it's, offering 5%, over 12 months, would, you be interested in Betty's like absolutely, please send me your contact information so. With this mobile app on the bus the relationship, manager can go create a new prospect and it. Goes directly into the Dynamics environment. So, it, goes into the environment generates, a prospect, they maybe do a marketing campaign or an email to Betty Betty's like this is fantastic it's exactly what I want it's, got a link to their website. So. Now Betty is going into the website she types hello and she. Wants, to schedule an appointment so. She had a great experience with that relationship manager. Now, this is using the. Dynamics 365, virtual agent which is built on the edge framework, it's, also reaching. Into and using flows to connect into the dynamics. Instance used at the bank so. In this case it's asking for her phone number. She's, already an existing customer with the bank and. Maybe. She just you, know in a real world experience would have signed in but, what it's doing now is it's looking up her contact information. It's. Finding. Out information about her. Anything. That can be you know how many accounts. She has and its notified, that she's Betty here so it's identified, her so. She wants to create a new appointment and again this is using flow to go into the Power Platform to go into dynamics and create. A new appointment. What. Would you like to discuss I love that certificate, of deposit, that that nice, gentleman on the bus told me about and we got the the. Email on and, she's. Going ahead and. What's. Doing now is it's reaching into, the banking.
Accelerator, And the new, data model so, one of the entities, and how we've decorated the contact is we've. Said was your preferred branch now, this is obviously important. Because of its saying up an appointment at, that branch it's, going to want to go in and set it up with the right person at the right location so. In this case it's finding out that the midland financial, location. Is her preferred branch yes. It is it's. Also finding, the CD, that I talked about before is all new entities, in the banking data model and it's. Saying yes can you go ahead and make an appointment, so, it's going ahead and making an appointment now and, we. Are setting this up for July 12th. At one o'clock you don't, need to send me a reminder I. I. Can tell you this virtual. Bot virtual, agent super. Easy to create you guys should really check it out, really, fun you can do drag-and-drop and it's really made a natural, language of being able to create this as well, as generate flows. To be able to connect this data into the power platform. You. Know building, something like this took an hour where it took months before so. It answered the question now we go into the, relationship, management experience, so, now I'm in Dynamics 365. And I see the daily - this is a daily dashboard, used by the relationship, manager. It gives them we, include as the banking accelerator, set of different dashboards, and reports, as. Just examples, of what you can do so it, shows. The, power of what the new data model is within, dynamics, so, you can see here now if we go to the. Appointment and. I probably tested the demo a couple times but you see the appointment here is created. In. As. Of, July, 12th so. It's now July 12th, I'm a relationship, manager my appointment with Betty is coming up I'm gonna want to see a view. Of Betty so, I have 10 minutes beforehand, I want to see you know I have my daily - of all my appointments and you can see a 360, degree view of Betty, you. Can see relationship, analytics so, our accelerator, is wired into, customer. Insights, relationship. Insights, relationship. Analytics you. Can also see all of her financial products so, what accounts does she already have you. Can find in social and, sentiment analysis, you, can see information related. To her what, referrals, as well, as kyc which is a know your customer, it's a banking, term which, you might want to do a factor check all of this is populated, with the new banking model as, part of the accelerator. So. This is great so I'm looking at Betty and I see profits here she's in the high segment, which means she's an important customer so. Betty comes in you have a discussion. You. Maybe set up the new, CD. And so. You're, going through the process of creating that certificate of deposit and you can, see we're doing opportunity, scoring. Here with AI so. It's saying that this is an improving or have a good chance of closing this and we, include some workflows. For doing, things like creating a mortgage or process just, to be just so you can see what can be done, with the new banking, data, model and the accelerator, so. This is great you're bringing that up and you go back to Betty and, saying. Fantastic. We're setting you up in the CD but, Betty also mentions that she owns the coffee shop and she's, like you know what this is I love working with contoso Bank you guys are delivering a great experience, I was, looking at other banks but what I want to do is work, with you guys we're.
Looking At opening a new coffee shop here in Atlanta, and let's, go ahead and you. Know I'm going to need a. New. Commercial loan I'm going to need a working capital a line of credit maybe. A new, checking account of preferred checking accounts I'm. Going to need that can you generate an opportunity, or can you can you pass my lead information on, to someone who can help me with that side so. What this is going to do is real. Quickly you're able to set a referral, and send. That from one segment in the bank over to the commercial lender so, in this case they create a referral, it gets sent over and now, from the commercial lending side they, get a hot lead saying. That. She, says you know go ahead and send it to my my. Husband, Brian Welch who's the CEO he's, doing all the finances, on it I'm the CEO and run up and, run the company he's, doing the financing on it so, it's sent over to Brian so now I'm looking at a, relationship manager, from a commercial lending point of view so, you can see it's similar but this is all around the account this, is around the company or in this case coffee Inc so, it's a similar experience they have a daily - but you see it's different what. They're doing is they're tracking, you. Know how much of the limits are done by company, you, obviously want as a bank you want people using you, know as much money as they can because you're gaining interest on it but, you're also able to see all of these, hop referrals, coming in and one, of them is Brian so. You, click on Brian and you, see. That the, referrals coming in it's related, to coffee Inc and. Again. You set up an appointment with the, same way that they did with Betty but, in this case you're going to go and. Look. At the account information, so. In this case it looks different, in. This case it's coffee Inc and you see it's a different. Tax, on imme so we have a model that supports both commercial, banking as retail. Banking from a customer experience point, of view so, in this case the, contacts, are who works at the company as. Well as the connections, so, if you're working with a, credit analyst risk, analysis. Canna list a loan, officer all. Of those different contacts are associated, with coffee. Inc here, what. Facilities, so what requested, facilities, do they have, and. They might already have facilities, so, in this case they already have a relationship with, contoso Bank and you can see that they have an implemented, limit, as well as what percentage, of that limit that they're using so. This gives indications, and what they could do is do the little triggers that say you. Know what actions, can we do if they're not using their limit maybe they're not happy with the bank or they're. Coming up - they're using. A hundred percent of their limit and we need to go and contact them to increase it so all. This information and then, is available, so in the same way they can create an opportunity for doing, a coffee expansion, and here, you see again all of the AI coming, in that's, showing the trending related, to that that. Opportunity now the, value of this is we have a common data model but. Around. Financial products that, spans both commercial, lending and in. Retail. So, in this case Betty had a personal, relationship with the bank but she also had a. Commercial. Relationship with the bank through, her coffee Inc now. I know there's some power. Bi experts, in the room so, all of this is embedded, we have an embedded experience, in Dynamics 365, as well, as of course you can run this in in power, bi so. We include as part of the accelerator, a set of dashboards in, this case this is a branch. Manager dashboard, where, you can see related to the bank both. On the retail and commercial side, all the applications, coming in and you're able to drill into it so, again these, are including, samples, just, so you can, go ahead and take this away. You. Know play with it and see what can be done with it. The, last thing I wanted to show is Vera Park so, this is all great but the value of the common data model the, value of us divine a providing. A platform is, for our partners to build on it by. Us having the same. Well-defined. Language, and consistency, for how we define, whether. It's the common, data model when you're looking at the name or account or, now with the banking extensions, for how you deal with a loan with, a mortgage. With requested, facilities, by, having that same texana, me our, customers, can write to the same data our partners can write to the same data solution. Implementers can write to that same data and it's and that you don't have to deal with the transforms, that used to be before of three different people writing. And defining it differently I can, tell you a lot of the work that Smith my, colleague and myself do is defining, what that data model is and going, to that the hard work to make sure it's optimized, to, make sure that it's performant, and make.
Sure It's going in the direction of where their platform is going so. We've done that heavy lifting for you and providing that data model, working with industry standards, working with our customers working with our partners and will continue to involve and improve. That so, let's go now into. And. See, a partner so again this was a sample app we're, not meaning to this is just a something, that you can use and a test drive experience or, Gaza solution. But. Now we, see Vera, touch so, this is the Vera touch solution and they've, extended it so they're using the common. Data model we. Worked in collaboration with them they're building their solution, to leverage that same common data model so, that as a customer uses, it maybe it's another partner, which, is using something for. For. Fraud detection or, for, analytics, they're, all going to use that same data. All, shaped. The same way in the common data service so. Here's the Vario touch solution you, can see that looks a lot better than the sample that I just showed they. Include all these different visuals, they. Include a next best action where they're using AI and, m/l technologies, to, determine what is the next best product, that that customer should get. They. Include, customer, insights for financial services and, rich. Detail, on the individual, products, that the customer has as well, as a repayment plan transaction. What, they've taken is the common data model that we now have in public preview and they've, extended it to include the things for, for. Vera touch I. Think. My time is up the last thing I want to end on was, my app source so this is on app source today if you go to app source and type in the banking accelerator, it's in what we call a public review everything. That I showed today you can click the test drive there's, a document that walks you through it and you, can experience, it if you, want to engage with us and give us feedback as, well, as get the solution to put in your own, power. Platform, or Dynamics instance, either. Click the contact, me or there's an engaged forum at the bottom and we'll contact you about. The public preview we. Hope to move really quickly on this as well as expand into other financial. Services, segments. Going. Forward with. That, again, this is one industry, you saw googs talk about the breadth of industries, that we're working on I like. To introduce Smith, Cody Oh who's been working on the automotive one thank you. Need. To switch the deck. Thank. You okay. So. My. Name is Smith Cody I'm one of the PME driving, the automotive. Accidents, on the team so, I'll be talking today about the, investment. That we we. Made around, the automotive, axe Raider and the CDM work that we've done. Similar. Pattern to what you, know Goods introduced and James talked about really, we're trying to solve. And provide, a solution for how you. Know we can solve some of the challenges that people and our customers, our partners having, around data, so. In the armor in the automotive. Space. For, Microsoft. What. You see right now on the screen is basically we have a philosophy. Or this is our approach to how we're thinking about the industry or not so. In discussing with call or EMS, and partners. And customers so. We. Have a set of themes and areas that we think it's really critical for us to clarify so. We. Don't want to compete with our OEMs or our suppliers so whatever we do it's a compliment, why this already exists to make it easier in terms of you, know the, key pillars that you see here on the screen. Second. We, want to make sure that the. OEMs. Or even. The customer you need to have control over your dinner so. Having, a, strategy. For managing your day right States it's really critical for.
Microsoft. And also for our customers, so we think we, need to provide you the tools to enable that and then. Third it's. Around managing, your, brand so. In terms of how. You can track a customer, journey from on the channel to, how. You market to them we want to make sure that you're always in control of that and. Then. Below we. Microsoft. We're. Actually investing, heavily in all, the pillars that you see on the screen starting. From the connected of the Oh sites so we have a team dedicated to work, with OEMs to enable. Some of those coastal areas from smart, mobility to. Autonomous, development. Intelligence. Supply, chain and some of the new emerging. Technology, around. Blockchain, and stuff like that. More. Importantly, today. We're going to focus on some of the most. Recent investment that we made around customer engagement. And customer experience scenarios. Around. Customer, 360. Digital. Marketing for tracking a customer, journey and. So on the core customer engagement, around connected, field services, and DMS. Dealer. Management systems. We, we. Work with a set of partners. And some. Of the customers, that we have to, actually get those requirements when you find them so we can actually build. The CDM, and some, of the simple, apps that showcases, some of the core connected, scenarios that we're going to talk about. For. The first version. Of the accelerator we actually, focus. On three key areas, they, want customer, insight similar, to what, James, talked about earlier so we want to make sure that the data that are being generated from your transactional, applications that. We give you a way where you can store that data hence, why we build a CDM that, provide. You a way to basically. Create intent, and describe intent, on the data that you have in your data estates or derelict. Iran, customer. Engagement digital marketing we. Invested. And created, objects, in the model to support some of those scenarios and. Third, around. Om, and, dealership. Engagements. So more, and more we. Know that it's really critical for OEMs. To have tight, integration with the dealerships, along with the customers, so, we actually work with some key partners to, build the integration, layer that makes it possible to, bring data form, different systems over, to, your CRM environment. The CDM, on for automotive, as. You can see on the screen we. Have a very broad set, of categories. That we want to support but. For the first release of that we actually focus, on some key areas that we think based on data from customers, and discussion. That we have with you know partners, some, of the partners that we have here in the room today which will be on stage later talk, about the experiences, with Microsoft. And we, focused on supporting, lead, management so, there's. A, standard. Out there for, automotive, retail run, starts, co-star so, if you actually want to dispose data leave this do leave this position of data coming. From a star, format you can actually leverage. The CDM which has the objects already defined to, quickly build. Business processes, on top of that same. With the devices. So, if you think all the, data coming from cars using sensors, so, we actually build object. In the CDM that. You can use when. You deploy, the automotive CDM so you can actually start collecting, vehicle data and then connect, that with existing data that you have in your CRM environment. Or your DMS system. So. As. Google's. Mention earlier we're gonna take you on a kind of customer, journey to show you how. Different. Personas, can not, only leverage what, we have, in the Mac in the in the Microsoft ecosystem but, also the investment that we're making in, the CDM, and some, of the investment that our partners are building apps and I can make things simpler, to, build complex business processes, so. In this scenario I'm gonna play, the wall of, Bob. Who's, an. Employee. Of a company that, has a very large fleet. Of vehicles, and. Bob. Is gonna schedule. Test drive and. Second. I'm gonna play the wall of a fleet, measure if. Any, one, in this room is actually.
Aware. Of know the processes, around managing, a fleet a complex fleet it's a very complex process as, a lot of stuff going on so, you would love to be able to get some of the two, and services that we have and I'm gonna work you through how leveraging. The power platform. With, the rest of the Microsoft, ecosystem how, you can actually simplify and, by. Collecting data and and get more insights and so into, your fleet and, in. Third I'll go over. The. The service center, how, you. Can quickly schedule. A service. Call. Bring, the car in and service, it and also, the, end user overview of that so I'm gonna show those, kind of three or four personas. Miss. Fasulo demo. Okay. So. If any of you guys are fleet, managers or at least know someone who's a fleet manager, I'm. Pretty sure that you would love to be able to have a dashboard that you can look at on a daily basis to get insight into what is going on with. Your vehicles so. This, photo that you're looking at right now it's contoso, Auto so. A me as a fleet manager Bob I'm, gonna log in on the, portal. What. You can see what now I can look at the bottom right now I can see the. Number of new cars. Of vehicles that have been provisioned, in my fleet just. By. Data. That have been I'm connected. That. Have been collected, through. The azure, IOT hub leveraging. The Microsoft connected vehicle platform were able to gather all the data and provide that kind of insight out of the box just. By aggregating the data on, that one on the dashboard so I can see new activated. Vehicles and. More importantly I can look at issues that are happening across, you. Know different regions where, my fleets are being used or deployed so. I'm. Gonna look at the, France region. And look at some of the issues, and happening, with the sedan in my in my feet I. Can. Quickly drill down by selecting, a model car. And. Then. Being, able to really go deep so. What you're seeing right now is basically the use of. Microsoft. Services. To. Collect data, at scale, from. It you can imagine with, all the cars that you might have in the fleet all the data are getting you know generated, so, we have a service that can collect that and allows you to aggregate that and it being able to start getting insight on top of that. So. Looking, at this model, car I can see right away that there is, something. That might be going on with the battery is specific, to that model car so, I can drill down even further, so. I can actually look at the health. History of that car. Now. What, you see here this is actually what the fun part this, is for for me the fun part of that, you. Have data coming from vehicles, on on. The left on the right side. It's really data coming from your DMS environment. Think, of it your CRM system which.
Has Basically. Information. About the driver of that of that car. VIN. Numbers coming from that car all that data is actually, stored in. The city and the automotive CDM that is deployed in, your CRM environment so. If you had to purchase like a vanilla. Environment. Out of the box you, will not get that by. Adding the automotive CDM, your, market transform your, vanilla. CRM, environment into, actually, an automotive. Environment. So, that's actually the value of the CDM and, the work that we're doing with our partners to actually bring that to make its pick the. Industry language so. What I can do I know actually again go even deeper so, I'm gonna say wow I want to be very proactive this is actually in, prior. To such, services, you, have to wait for the car to run. Into some issues and then they have to bring it over or tow it and stuff like that in. This case I can, actually say you know what I want to bring one, of the cars in at least have my technician, take a look to see if it's real what I'm looking at so, what you see what, you see right now. I'm. Bringing. Data coming from both, the. Vehicle. Data that we collected from the Microsoft. Connect platform vehicle. Platform with, customer, engagement data that we have in a CRM. Environment, but. Really what I want to achieve here is to schedule a service request a service, appointment for that car so. I can actually within, the portal click, here to schedule that service. When. I click on that that's. Gonna take me to a. New. Gonna. Launch a power app so, that's the fun we. Actually connecting, a, on. Azure websites, which, is displaying, you, know data coming from vehicle, one platform now. A transition from that to, the power platform, where I have a power app as. The. Fleet manager I can quickly schedule. That appointment I don't have to actually call a service center to do that using a power app that, is connected, to the, same back-end then, I can quickly schedule, service. So. So. What you see, it's. Basically the the, the surface, view I just open up an existing record to make it kind, of to speed up the process here so I have a service. A. Service appointment scheduled for that cut to come in for service, I can. Go ahead and save that appointment. As. You can see we actually carried, the the context, from. The, portal where I was looking at the kind of dashboard. View to, the Power Platform using. The power app so we bring that context over so this is the kind of integration that we're doing well you can basically, carry context between multiple services, and platform. So. Now let's go ahead and look at now the services scheduled, what is the end user view okay. So, I can go ahead and. Look. At actually. I have the power app on my phone I can, quickly. Show. The end user view here. Okay. Yep. Well, okay. So as an end-user I'm the driver Bob of the car I have. My power app installed on my on my phone I can quickly open the app and see my upcoming appointment that the fleet manager is scheduled for my car so, I can actually click on that, request and. In. See the details of that or say oh wow it seems like I need to bring my car in there might be some issues with with the battery on that I can, actually scroll down if I feel like I'm running late I need to you know postpone or scheduled, I actually can, use that within the same app actually, can interact with a virtual, assistant. To. Reschedule. Or postpone my my. My service appointment, all that, is, something. That usually. Takes, a lot of interactions, by calling, waiting the queue now me as the driver I can actually do that on my own self-serve. That's. The, power of the power platform here in action, now.
Let's Switch over to look. At the service center so, if I'm a technician, I want, to look at my daily, I come to work and I want to look at work. What are the cars, that I need to service for the day so the fit manager schedule is set of service. Request now this is my view as a service technician I'm. Gonna use the system to do that so, I'm gonna sit over. Okay. So. Me as a technician I can say okay so today I'm gonna be working with I'm, gonna grab. This first. Service. Request here I. Can. Quickly open the requests, and then. Start. Working on it I change the status to in progress now. They think that is really nice about this if you look at that I get, some notification, me as a technician I can't. Get inside this is using. Data that were collected, from, the vehicles, now. The technician. Is getting inside by saying that wow this is the last time you know the customer brought the servicing and I can even look at. Upselling. The customer, so. This is that is actually possible now, using. Services. That we have within, the Microsoft ecosystem so. I can actually as a technician I can add any. Of the services, and. Add. That to one of the work orders the orders that I'm working on the customer as an upsell and when. I'm done I can actually come back and close. The. Service by click. Step servicing, and then, make, my updates I. Can. Collect I can add notes. Completed. Completed. And. I. Can, even collect. Signature, so what, you see here, there's. Some. Of the out-of-the-box capability. As you get from the power platform but, you, can never join our partners partner, solutions like you know I don't. Assign assign to, actually connect that signature but this, is all the, accessibility. Capabilities. That we have on the platform so in this case I'm just gonna go ahead and sign and then, click Submit so. We, went from. Bob. Who wanted. To just. Pick. Test, drive a a car within the flit - if. You, wear the flip manager can actually have great insight into what is happening with the cars within the fleet -, how we can quickly service, the car and gain more insight and, be. More, predictive, about. How we service, our cars now. Let's take a view to the. Service, center manager, who might want to actually have. Oops. This. Is leveraging. Dynamics. So, similar to the. Environment. That James, showcased, earlier so. If. You look at it exactly the same set of applications, we have sales marketing, but, what we've done when you deploy the automotive accelerator, we, turn that from a vanilla. Generic environment, to an automotive. Environment. While, you can see on the site map if, you look at the some of the entities that we have they, are very specific, to automotive, how you can manage the device devices. Your, brand's your, businesses, and so, forth and so on including some of the sales and after sales processes. All that, I solve, the objects, and some of the processes. That we included in scope for, the automotive actuator. So. What. Have we seen here there's a pattern right so James, went and talked about you. Know how we, want to create leveraging, the CDM as a common language to to. Create, models and define intent, for those objects the. Same pattern is used in, automotive so, the. Models can be used in, multiple industries which we have you. Know some customers, that can help a non-profit. And edu so, those. Are designed to be used as. Reference. So, you can start from, by creating CD and folders on our Ashford attic storage to, deploying. It to a studious environment, all that can, be reused. With. That I would, switch. Over to Goods. And. Then. Invite some, of our partners that we have in the front row to kind of if they have a minute or two when we're done yes exactly, okay thank, you thank you. And. Again we want to make the partners that we work with for any of the accelerators, let me just bring us to close then we'll stick around for a couple of questions. Somebody. Left a bunch of slides in here so we won't use this look. We, appreciate you hanging out the. Goal here is to create a set of accelerators, by industry, working. With our is V partners, our sis and our customers, so, that there's a a great starting, point with, the right entities, and framework for, creating and, you know end-to-end experiences. Whether, its customers, whether its employees whether its products or services we want to be able to stitch that all together through. A common set of journeys, by, starting with the right data framework and a set of sample code we've, done it for healthcare we've done it for automotive, for, financial services.
Public. Sector and education, we'll do more of them they're, not polished, finished, products, they're tools to start working with that then allow individual. Is v's customers, or partners to build on top of them so we. Hope you you, enjoy them, we hope that you contribute, in they're all available on get if, you'd like to learn more we'll, stick around and answer a few questions a couple of our partners are upfront with us if you'd like to answer questions. And if not feel free to reach out to us and, with that I'll just, close down and let people go and if you want to come up and ask questions we'll just hang out thank. You very much.