SAP SE/Audio NAM
Moderator: Walt Ellenberger III
10-17-17/12:02 p.m. CT
Confirmation # 349759000
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Hana in healthcare education – sap cloud analytics platform “a closer look”
Moderator: Walt Ellenberger III
October 17, 2017
12:02 p.m. CT
Walt Ellenberger III: Welcome everyone to the HANA Consortium Education Series. Following a very popular unveiling a Parkland’s Healthcare Digital Boardroom, we put together this follow-up webinar to really address the behind-the-scene questions a lot of you’ve had about the SAP Analytics Cloud Platform.
My name is Walt Ellenberger. I head up the business development strategic alliances for SAP North America Healthcare. I have the pleasure managing the Epic Partnership and the innovative work we're going with the HANA and Healthcare Consortium.
Some meeting logistics before we get started, everybody will be on mute for the duration of the call. You can always hit star six to ask questions during the Q&A sessions. You can always submit questions online. We will answer those in the order of submission.
We'll take about 40 minutes to present on a frontend and save about 15 to 20 minutes at the end for Q&A. We really want to encourage Q&A for this session to make sure we're answering all your questions. This session will be recorded for re-broadcast. We'll also make the link available to everybody along with the presentation.
So, with that, I am going to turn the mike over to Ty Miller. Ty is our Vice-President for SAP Analytics and Product Management. Not a stranger to the healthcare on Consortium. So, with that, Ty, I will turn it over to you good sir.
Ty Miller: All right, great thank you, Walt and hello everyone. I'm definitely interested in talking to you today about Analytics Cloud and Digital Boardroom. So, as I understand it, you guys saw a great used-case of how one of your colleagues in the industry is using Analytics Cloud with Parkland -- Parkland Health and so I'm going to talk to you about kind of where our strategy is and what's under the covers of Analytics Cloud.
Let's see what is -- how is the Digital Boardroom relate to Analytics Cloud and what this host solution or service is and what isn’t, so we'll get into some technical details of how it connect to data, where the services provisioned and how, and some of the specific features that we have in Analytics Cloud and I'll just go through that and some architecture.
And then give you again as Walt noted a chance to ask some questions and you can certainly ask questions in the chat as well and I think Walt will be reviewing that and then he can help flag some things that might be coming up on a recurring basis.
So, where does Analytics Cloud fit in the analytics portfolio at SAP? Because, as of most if not all you know, analytics at SAP it's certainly not something new. We had BI and Planning and Predictive for a long time through organic growth and through acquisition. We have -- and I have worked in many of these areas, so for example, the BI Platform and Lumira, these are -- these have been BI Solutions around for a while.
We have our Planning Capabilities primarily in BPC, so Business Planning and Consolidation or IBP, so Integrated Business Planning. We also then have Predictive Solutions primarily with Predictive Analytics. But, we have -- in SAP Analytics Cloud here in the left-hand side, this is where we have taken kind of those learnings and the expertise and the engineering and product management that we have.
And we realized that with the markets inevitable move to Cloud, that we needed to create a software as a service capability and knowing that we needed to do this, we also realized that we had the opportunity to think differently in architect it brand new for the Cloud.
And so, SAP Analytics Cloud, it is a brand new service. It's not based on the technology that we have today of BI or Planning Predictive. We've built it from the ground-up as a native Cloud service provided as -- provided through our public Cloud platform which runs on the SAP Cloud platform.
And because we were able to start this from the ground-up as a new idea and ways of doing analytics, we realized that there was -- we had artificial reasons for having BI and Planning and Predictive separated or siloed before. So, while we have connectivity between those three areas in our on-premise world, with Analytics Cloud, we have been able to put all of them in the same platform.
And so when you -- when we talk about Analytics Cloud, we are -- we're really talking about software as a service. We're running on top of our SAP Cloud Platform, which is our platform as a service. We are offering the SAP Cloud -- SAP Analytics Cloud as our software as a -- as a service running on top of that, so there are multiple variations of Cloud.
You have hosted solutions. You have infrastructure as a service like your Amazon Web Service or your Google Cloud Platform or Azure. You have managed Cloud as a service where essentially most often you're taking an on-premise application and then someone is running it and managing it for you on an (IS) layer or hosted in an environment.
Then, you have a platform as a service, so at SAP, this is like the SAP Cloud Platform where you can develop apps on that platform and Analytics Cloud is an example of an application that we at SAP have built on top of that SAP Cloud Platform and that application that we have built is SAP Analytics Cloud, okay?
So, because we've had the opportunity to build this Analytics Cloud as a brand new service, we really had an opportunity to rethink and redesign, re-architect how we believe analytics is being consumed and used by you guys, our customers and our partners, et cetera.
And so, it's really a new paradigm for delivery as a service for the capabilities in terms of its BI Predictive and Planning in that one service, it's not siloed, it means that we have abilities to connect to data everywhere whether it's on-premise or in the Cloud very easily and it's -- and it also allows us to be -- to think new and afresh about what types of experiences we want to have on Analytics Cloud as well.
So, the Digital Boardroom is a great example of that -- of a -- an experience -- that is a unique experience that we can have on -- at the Analytics Cloud, so Digital Boardroom, is an experience on SAP Analytics Cloud. When you're doing a business intelligence, for example, the focus right now is on data discovery or agile visualization, and so it's really meant to be -- we've designed the experience and the user interface of Analytics Cloud to really be focused on the business user.
With our on-premise technologies, we have maybe spent more time than we needed to on I.T. and providing an experience for I.T. to make analytics available for the business. But, this is really kind of significantly changed over the past few years where the business users have become much more sophisticated and they want to create their own analytics.
They want to create their visualizations around reports, around dashboards and so we've really taken that that focus in Analytics Cloud and developed an experience in business intelligence that is for the business user, letting them connect to their data whether it's corporate data that I.T. is made available to them, a Universe, a BigQuery and HANA view, you name it.
Or connecting to a CSB file or an excel spreadsheet or Google sheet or connecting to a Cloud Application that could be salesforce.com. It could be Google BigQuery. It could be Fieldglass, Success Factors, Concur, Ariba, you name it, but essentially we want to allow you to connect to pretty much any type of data you can think of.
And then create your visualizations, create your dashboards on top of that, share that with your colleagues whether it's on a mobile device or in your browser, everything that you do in Analytics Cloud and the Digital Boardroom that is an experience on top of that, you author, you consume, you interact using your browser, everything is done through a browser.
You have the opportunity as well to download and use an iOS App that we have that lets you interact to that content as well. And then we are also -- we've just recently actually launched the ability to -- for any of you using Analysis for Office, you connect Analysis for Office to Analytics Cloud and interact with that data that way as well.
And so that leads me into the idea of Planning, so again, Analytics Cloud, it's not just a BI Platform or service, it's an analytics platform delivered as a service. And so that means that you can do planning scenarios and you can do predictive scenarios as well.
And so in that Planning Environment, this is where oftentimes finance but really can be some anyone in the organization that wants to plan or forecast or budget or do what is analysis, all these things are available in Analytics Cloud because you have the ability to actually create data in Analytics Cloud.
You have the ability to do -- to distribute -- to do distribution and to do spreading and to do allocation, these are all -- for those of you that do anything in planning, you should be familiar with these terms, but in addition to the planning, the financial planner would do you can have that ability to do What-If Analysis and do simple budgeting and planning and to do forecasting.
And so, that integration of Analysis for Office into Analytics Cloud whereas right now it's for a BI used-case, it will also become a client that you can do planning scenarios in tandem with Analytics Cloud as well.
So, that’s two scenarios and then a third area that we're really spending a lot of resources and time and effort into building it into Analytics Cloud is what we call Smart Assist. And Smart Assist is where we're taking our machine learning technologies, our conversational artificial intelligence platform, and our SAP CoPilot bots and we're developing things that have the machine, the machine in this case is Analytics Cloud, think for you where it can provide additional insights to you that you might not even aware of.
It can do things like Smart Discovery where it will search through the data for you and find the KPIs that are most likely to influence a particular result that you're looking for. Like, what dimension, what KPIs, what inputs are most likely to improve your profit margin or reduce your costs.
And so using our Smart Assist technologies in that machine learning, the Analytics Cloud will process and navigate that data for you and provide those insights to you rather than requiring you to search for it yourself. And then we have the Digital Boardroom, and again the Digital Boardroom is an experience on top of Analytics Cloud.
It's an experience where you can really be surrounded by the information and the data coming from Analytics Cloud and this is really what Parkland Health has taken and maximizes and really made a great used-case on how they're using it to run their hospitals and that Digital Boardroom is a large touchscreen environment where your -- where you can interact -- you're actually playing or interacting with the data.
Think of kind of like a minority report to the scenario and when you have it on one or multiple screens, the visceral impact of being surrounded by data, really has a remarkable impact and so -- and that Digital Boardroom is really a key experience on the SAP Analytics Cloud Environment.
And then, you have Mobile -- so, we just released our Mobile Application a few weeks ago. It is -- basically, we've taken both the stories of Analytics Cloud -- the story like a dashboard as well as the presentations from the Digital Boardroom and both of those we've enabled for Mobile Devices to native iOS App today, so iPhone or iPad and allows you to interact in prem -- have those -- that content be parameterized.
If you're using a live connection to your HANA or your BW, S/4HANA, Universe’s or whatever that connection continues to be live in your Mobile Device, but it really gives you that experience on a smaller form -- screen real estate that you have in your full browser on your desktop or laptop as well.
Because Analytics Cloud is a full analytics platform delivered as a service, it means that all of the plumbing for it whether you're doing a BI Used-Case or Planning Used-Case or Predictive Used-Case, all of the plumb for those is the same. The user experience -- the user interface is the same because it's one application -- it's one application on that single platform.
So, the data you’ve connected to and that you’ve wrangled, how you’ve modelled it, the security that you have, the authentication, the authorization, the collaboration, the Mobile Capabilities, the APIs all of it is in one platform.
And so, this is really where we find the game-changing opportunity for Analytics Cloud in the way that you guys are wanting to use and provide analytics to your customers or to your users or yourselves, right? And so that really is the big difference.
Today, we offer that SAP Analytics Cloud is developed on our SAP Cloud Platform as a service and that runs in the SAP Data center. What we are working on is adding several partner infrastructure as a service providers where we will be running that SAP Cloud Platform.
And so today, for example, we're already running the SAP Cloud Platform on Amazon Web Services and soon probably next quarter in Q1, you will see that Analytics Cloud running on that Amazon Web Services Environment for Cloud Platform as well. We are looking -- we have partnership that we've recently entered into with the Google Cloud Platform and Azure and so you will see Analytics Cloud being provided through those platforms as well.
And so, that will provide opportunities where if you are already partnering with these information as a service providers and you have things like maybe Google BigQuery or Amazon Redshift or SQL server running on Azure, there could be opportunities there to have kind of native experiences for data access and capabilities that might not otherwise be available, so we're really excited about what we're doing in that area.
Now -- and for some reason, my map is not showing up, so I'll just talk to this. Today, Analytics Cloud is provisioned out of six locations around the world. So, we have Sydney Australia for our Southwest Asia. We have China -- a data center in China, a data center in Japan. And then we have for Europe, a data center in Germany.
And then in North America today, we have two data centers in the United States. We're planning to add intermittently, this quarter, a data center in Canada to complement North America and then another one in Brazil for South and Central and Latin America.
So, we're expanding really quickly and this will grow even more quickly next year once we start to leverage our partners of Google and Amazon and Azure as well, so lots of growth of where we can provision Analytics Cloud to you as a service.
So, now one of the most important aspects of any analytics platform is connecting to data and so you -- some of you may be wondering if Analytics Cloud is running in the Cloud and your data is on-premise how do I get access to it? How easy is it? Where does the data reside? Where does it go? Does it have to leave my firewall? If it -- what are the scenarios?
So, there are multiple scenarios, but there are really primarily basically four scenarios. We have data in Cloud and that could be from SAP Cloud sources that could be from third-party Cloud sources, so here looking over in the upper left-hand corner of the slide.
We also have data on-premise and that could be from an SAP Environment or an SAP Platform like HANA, like Universe’s or like BW but it could also be like ECC, but it could also be thirdparty sources just regular generic SQL sources like SQL server Oracle, Teradata, DB2 you name it.
And I apologize for this graphic here. It seems to be I uploaded it into USB connector seems to have overwritten in text. Let me just go forward and see if that builds it maybe change it. No, it doesn't. And then we also then -- another distinction is, we can connect the data live or we can import the data and refresh the schedule on a recurring basis.
And so let me talk to you about what the difference is basically. When we connect to data live, it means that we're -- think of it in kind of an online analytical processing perspective where the connection is always online and we're not actually moving the data from the source.
It's actually the user’s browser that is connecting to the data and as the user interface of Analytics Cloud that surrendered in that user’s browser providing them the overall experience. And, so we have the opportunity to connect to HANA, BW -- BW on HANA or BW for HANA, our Universe’s, S/4HANA, on-premise or Cloud, Hybris Marketing Cloud as well as some thirdparty sources in a live scenario where you don’t actually move the data from the source to Analytics Cloud.
It's super cool, multiple patents on this and it's something that I knew a lot of customers are interested and in particular sometimes in healthcare, because of HIPAA Requirements or various compliance restrictions that you have sometimes you are not able to have your data leave your firewall, and so this is why we've created this capability.