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#askSAP Analytics Innovations Community Call: SAP Analytics 2019 Strategy and Roadmap

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Whether it’s growing a loyal customer base, pressure from innovative competitors, or retaining top talent, there is no shortage of strategic decisions to make by businesses today. SAP is tackling these challenges head-on by delivering the Intelligent Enterprise, and SAP Analytics is the glue that connects all the pieces together – from data right through to intelligence. Whether through new cloud technologies, existing on-premise investments, or every possible hybrid combination, SAP Analytics enables businesses to make faster, more confident decisions. In this webinar you will learn about what's ahead in 2019 for SAP Analytics. Visit www.sap.com/asksap to view the recording.

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#askSAP Analytics Innovations Community Call: SAP Analytics 2019 Strategy and Roadmap

  1. 1. PUBLIC February 28, 2019 #askSAP Analytics Innovations Community Call SAP Analytics 2019 Strategy and Roadmap
  2. 2. 2PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ • Annual webinar series for the analytics community hosted by SAP Analytics • An opportunity for you to direct the discussion, get your questions answered, and end the session with some useful advice • Live and interactive 90 minutes • Connect on topics before, during, and after the call via Twitter using #askSAP #askSAP Analytics Innovations Community Call Series
  3. 3. 3PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. Except for your obligation to protect confidential information, this presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or any related document, or to develop or release any functionality mentioned therein. This presentation, or any related document and SAP’s strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this presentation is not a commitment, promise or legal obligation to deliver any material, code or functionality. This presentation is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This presentation is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this presentation, except if such damages were caused by SAP’s intentional or gross negligence. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue release on these forward-looking statements, which speaks only as of their dates, and they should not be relied upon in making purchasing decisions. Disclaimer
  4. 4. 4PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Adrian Westmoreland Product Management SAP Analytics Cloud Ty Miller VP of Product Management SAP Analytics Cloud Mohamed Abdel Hadi Global VP Product Management SAP Analytics Cloud, GTM Today’s Speakers Tammy Powlas Senior Business Analyst, SAP Mentor Fairfax County Water Authority
  5. 5. PUBLIC MohamedAbdel Hadi, SAP Global VP Product Management, SAP Analytics Cloud, GTM #askSAP Analytics Innovations Community Call Vision
  6. 6. 6PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ The Intelligent Enterprise Framework The Intelligent Enterprise features 3 key components: Intelligent Suite Intelligent Technologies Digital Platform AI/ML | IoT | Analytics Customer Experience Manufacturing & Supply Chain Digital Core People Engagement Network & Spend Management Intelligent Technologies Digital Platform Data Management Cloud Platform Intelligent Suite
  7. 7. 7PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ 7 Intelligent Decisions with SAP Analytics Cloud ConfidentContextualComplete From data to intelligence – everything you need Make confident decisions faster with AI-driven insights delivered to you naturally Insight to action in context of your business process
  8. 8. 8PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ All Analytics, One Cloud-Based Platform Powering the Intelligent Enterprise Suite Hybrid Analytics Augmented Analytics Customer Grade and Common Experience Strategy and Key Investment Areas for SAP Analytics “SAP Analytics Cloud is the strategic analytics platform for all SAP business applications moving forward.”
  9. 9. 9PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Hybrid ▪ Live Universe Connection 2.0 ▪ Improvements to BW connectivity ▪ Analytics Hub ▪ Analysis for Office, edition for SAP Analytics Cloud: Direct Access to BW and Hana Key 2019 releases ▪ BI 4.3: the Hybrid Release ▫ Easy user onboarding ▫ Access WebI data model ▫ Publish to Analytics Hub ▪ BW4/HANA, version 2 ▫ Perfect combination with SAP Analytics Cloud Maximizing value from your Hybrid Analytics
  10. 10. 10PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Data to Intelligence Business Intelligence Enterprise Planning SAP BW/4HANA 2.0 and SAP Analytics Cloud From Data to Decision: End-to-end solution for modern data and analytics SAP BW/4HANA 2.0 ▪ Simple ▪ Big data ▪ Innovation SAP Analytics Cloud ▪ Complete ▪ Contextual ▪ Confident End-to-end solution with unique integration ▪ Live connection ▪ Advanced metadata ▪ End-to-end business content Augmented Analytics
  11. 11. 11PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ L3 Technologies L3 is accelerating insights with self- service BI and rapid IT lead prototypes to continuously improve analysis in the aerospace and defense industry. Multiple data sources, both SAP and 3rd party; cloud and on-premise feed key business metrics into SAP Digital Boardroom for vastly simplified processes. Lincoln Sentry To benefit from data insights and improve customer relationships, Lincoln Sentry replaced their outdated tools with a hybrid suite of business intelligence and data management software including: • SAP Analytics Cloud • SAP BusinessObjects Web Intelligence • SAP Analysis for Microsoft Office Borchers Borchers Americas Inc. deployed SAP Analytics Cloud on SAP Cloud Platform to consolidate data from diverse operational units into a single analytics solution. The company is accessing trusted data in real time, even from their sales reps’ mobile devices. SAP Analytics Customers
  12. 12. PUBLIC Ty Miller, SAP VP of Product Management, SAP Analytics Cloud #askSAP Analytics Innovations Community Call SAP Analytics Cloud
  13. 13. 13PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Updates to the Timeline Since launching in 2015, SAP Analytics Cloud received updates approximately every two weeks. As of version 2018.19, we're moving from a bi-weekly release to a Quarterly Release to align with SAP’s global strategy for cloud application releases. This means you can expect a new version once every quarter. The Product Plan timeline shown below will now reflect the current plan based on this Quarterly Release Cycle. If you are on the Fast-Track subscription (roughly bi-weekly updates), please note that features may be available to you earlier than what is listed in the Quarterly Release Cycle timeline. More information can be found here. Quarterly Release Cycle Q1/2019 Future DirectionQ2/2019
  14. 14. 14PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Data Connectivity, Preparation, and Modeling for 2019 ▪ Simplify data connectivity setup ▪ Reduce feature parity differences between Live and Import connections ▪ Increase number of live data connections to non-SAP sources ▪ Extend data blending scenarios ▪ Increase data import robustness ▪ Make data preparation experience more intuitive ▪ Model live data ▪ Multi-source models
  15. 15. 15PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Data Sources Live SAP Cloud Platform1 SAP S/4HANA Cloud SAP S/4HANA SAP BusinessObjectsUniverse Access via SDI for SAP Cloud Platform & SAP HANA2 Apache Hive AWS SAP Vora SAP Sybase ASE, IQ, ESP Microsoft SQL Server Spark SQL Oracle Teradata OData MaxDB IBM DB2 MySQL Netezza Facebook Google+ Twitter Partner delivered APOS DB2 Microsoft SQL Server Microsoft Analysis Services Oracle ExadataOracle Oracle Essbase Denodo SAP SQL Anywhere Teradata Delivered Planned within the next 6 months Partners 1. Requires SAP Cloud Platform DBaaS license 2. SAP Cloud Platform connects to data using Smart Data Integration and Smart Data Access Adapters 3. This does not require the BI platform Import Cloud data sources Google Drive SAP Cloud Platform1 SAP Business ByDesignSAP Hybris Cloud for Customer SAP Fieldglass Google BigQuery Google Sheets SAP S/4HANA Cloud ODataSalesforce SAP SuccessFactors ConcurSAP Workforce Analytics SAP Ariba SAP data sources SAP BPC NW & MS SAP HANA SAP ECC SAP BusinessObjectsUniverse SAP BW SAP S/4HANA Other data sources IBM Microsoft SQL Server MySQL Netezza OData Oracle Progress OpenEdgeCSV Excel Partner delivered APOS Web Intelligence CDATA QuickBooks NetSuite CRM & ERP Microsoft SharePoint MongoDB Oracle Marketing Cloud DataDirect Cloud eloqua Google Analytics Hubspot Marketo Microsoft Dynamics CRM SugarCRM SAP BW4/HANA Microsoft Azure Redshift MongoDB MongoDB Atlas MySQL SAP SuccessFactors SAP data sources SAP HANA SAP BW SAP BW4/HANA Cloud data sources Netezza Dow Jones DNA Google BigQuery SAP IQ SAP BPC Embedded 3rd party CRM3rd party Cloud Storage HortonworksCloudera Amazon S3 Same data sources as SAP BI 4.23 SAP Marketing Cloud SAP Marketing Cloud This is the current state of planning and may be changed by SAP at any time.
  16. 16. 16PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. Strategy and Key Investment Areas for SAP Analytics Cloud 1. Alerting 2. Scheduling of content 3. Repeating content, headers/footers, etc. 4. Layout, page driven reporting, custom fonts 5. Bursting 6. Destinations 7. Export type Enterprise Reporting Improve Product Experience 1. Close Live vs. Import functional gap 2. Self Service 3. Intuitiveness/ease of use 4. Discoverability 5. Close Table vs. Chart functional gap 1 2
  17. 17. 17PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Predictive Automation Anticipate the Future Smart Predict Automated Discovery Understand What Drives Your Business Smart Discovery Smart Insights Conversational AI A Faster Way to Find Answers Search to Insight Smart Insights The Augmented Analytics Journey
  18. 18. 18PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Q1/2019 Future DirectionQ2/2019 This is the current state of planning and may be changed by SAP at any time. SAP Analytics Cloud Augmented Features Smart Assist Search To Insight ▪ Additional live data connection support ▪ Speech-to-text Smart Insights ▪ Live SAP HANA data connection support ▪ Calculated measure support Smart Discovery ▪ Live SAP HANA data connection support Smart Predict Data Access ▪ Live SAP HANA data connections ▪ Extend acquisition support of datasets to SAP cloud and on-premise applications and 3rd party applications Machine Learning for Business Analysts ▪ Dedicated user experience ▪ Guided data preparation and automated generation of features ▪ Scheduled automated predictions refreshment and quality testing ▪ Address more business questions with new predictive scenarios Consume Predictive Insights ▪ Export output predictive datasets ▪ Leverage business drivers behind individual predictions ▪ Keep predictions up to date automatically Smart Assist Search To Insight ▪ Improved handling of quantitative phrases Time Series Forecasting ▪ Additional forecasting methods, triple exponential smoothing and linear regression for both predictive planning and BI forecasts R Visualizations ▪ SAP hosted R-server support in additional data centers Smart Predict Consume Predictive Insights ▪ Publish new predictive scenarios to S/4HANA ▪ Predictive use cases in SAC Analytics Content Network Smart Assist Search To Insight ▪ Global search across all models ▪ New user experience Smart Predict Data Access ▪ Extend acquisition support of datasets to SQL databases Consume Predictive Insights ▪ Refine and update S/4HANA predictive scenarios
  19. 19. 19PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Develop analytic applications that bring together BI, Planning, and Predictive capabilities Start from existing content, templates or user stories, and customize, integrate and extend Guide the users and adjust the widgets behavior based on their expectations Intelligent Applications Delight your usersAgile Development Application Design completes SAP Analytics Cloud Content Network Customize Integrate/Embed Extend Reuse Mobile Ready
  20. 20. 20PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. Enhancements to SAP Analytics Cloud Mobile Experience Mobile first templates ▪ Pre-defined templates allow for a native application experience tailored specifically for mobile use cases Always available ▪ Offline focused architecture enables users to fully access and interact with their content instantaneously - regardless of availability or network speed Seamlessly integrated into SAP Analytics Cloud ▪ Build your content directly in SAP Analytics Cloud ▪ Leverage same data connectivity and modeling layer as Stories
  21. 21. 21PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. SAP Analytics Cloud Mobile Q1/2018 Future DirectionQ2/2019 Enterprise Readiness ▪ Internal Deployment SDK : XCode 10 support Feature enhancements ▪ Improved UX for changing between tenants on mobile app ▪ Jump-to navigation in Digital Boardroom presentations ▪ Dynamic text within chart titles and subtitles ▪ Chart hyperlink with filter context Innovations ▪ Geospatial support (choropleth) ▪ Annotations Enterprise Readiness ▪ Airwatch SDK Integration ▪ Localization support Mobile Application ▪ iOS support ▪ Templates: Pulse, Card, Catalist, Superlist, Layers ▪ Import data support Feature enhancements ▪ Android support for story and presentation viewing ▪ Embedding Stories in other Mobile Apps – Intelligent Enterprise ▪ Geospatial support (bubble, clustering) ▪ Global search (including speech-to-text) ▪ Improved content discovery ▪ Improved table experience (navigation, drilldown) ▪ Additional language support ▪ Support for planning workflows Enterprise Readiness ▪ Improved BW Live performance ▪ Internal Deployment SDK (custom branding support) ▪ Improved SSO experience ▪ Input parameters and BW variable prompts Mobile Application ▪ Content sync and security features ▪ Android support ▪ Support for live data ▪ Internal Deployment SDK (iOS)
  22. 22. PUBLIC Ty Miller, SAP VP of Product Management, SAP Analytics Cloud Live Demo
  23. 23. #askSAP Q&A
  24. 24. PUBLIC Adrian Westmoreland, SAP Product Management, SAP Analytics Cloud #askSAP Analytics Innovations Community Call SAP Analytics Hybrid Strategy
  25. 25. 25PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ ▪ Deploy Analytics on premise or in the cloud ▪ Flexible pricing options: multiple licensing options, ultimate flexibility ▪ SAP Analytics Hub: a single front end for all analytics content ▪ SAP Analytics Cloud: Remote Data Connections - Data stays resident and live on-premise ▪ Innovation with SAP Analytics Cloud ▪ SAP BusinessObjects BI (BOE): the Cornerstone of SAP Analytics Hybrid Strategy SAP Hybrid BI Digital Innovation Without Disruption
  26. 26. 26PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ BW/4HANA BPC Cloud Native Combining BI, Predictive and Planning Hybrid Enablers Interoperability – Bridge from On-Premise to Cloud On Premise Continuous improvements and Hybrid support SAP Analytics Cloud SAP Analytics Hub BI Suite Analysis Office Analytics Portfolio Hybrid View • Predictive • Planning • Data Discovery • Digital Boardroom
  27. 27. 27PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Flexible Pricing Options: Multiple Licensing Options, Ultimate Flexibility 1 2 3 New On-Premise BI Licenses On-Premise Conversion Cloud Extension Policy ▪ Reduced list price ▪ Reduced functionality ▪ Updated pricing reflects product strategy ▪ Right-size both quantity and functionality ▪ This down-conversion reduces on-premise BI maintenance spend ▪ Customers only pay maintenance for what is used ▪ Cover the reduced maintenance with a new cloud contract ▪ Partial maintenance reductions are only possible when combined with a new cloud contract
  28. 28. 28PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ New On-Premise SAP BusinessObjects BI License Model SAP BusinessObjects Enterprise SAP BusinessObjects Web Intelligence SAP BOE Edge BI sold via VARs SAP BusinessObjects BI, Edge edition New Webi-only edition Price Reduced No Dashboards or Explorer Price Reduced No Dashboards or Explorer Lumira Discovery Lumira Designer Analysis for Office Web Intelligence Crystal Reports Analysis for OLAP Explorer Dashboards Data Integrator (Max 8 cores) IQ (Max 8 cores) PowerDesigner (1 CSBL) Lumira Server SAP Application Data Access BI Platform (Mobile BI, Live Office) SAP Application Data Access BI Platform (Mobile BI, Live Office) Web Intelligence
  29. 29. 29PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ ▪ Allow for partial termination of on-premise maintenance when replaced by a cloud subscription ▪ Annual value of the subscription must exceed the annual value of the terminated maintenance ▪ All standard Cloud Extension Policy rules apply Cloud Extension Policy Maintenance Cloud Subscription Cost ▪ License ▪ Infrastructure (servers, data center) ▪ Operations (patching) ▪ Support ▪ New versions Cloud extension policy Example showing migration from BOBJ on-prem to SAC subscription. Using HEC with CEP will be different than shown.
  30. 30. 30PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. Seamless access to any deployment ▪ Cloud based, single point of access for on-premise and cloud analytics, providing unified user experience independent of content or deployment ▪ Business users have a simple way to search for content, get information, and access analytics ▪ Content is documented, categorized, and curated by power users who publish links to selected analytics for business users ▪ Only stores metadata, not actual data or analytics SAP Analytics Hub: a single front end for all analytics content SAP Analytics Cloud SAP BusinessObjects Enterprise Other content: SAP & 3rd parties Further information can be found in the SAP Analytics Hub product roadmap: https://www.sap.com/products/roadmaps.products-solutions.html
  31. 31. 31PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Q1/2019 Future DirectionQ2/2019 This is the current state of planning and may be changed by SAP at any time. SAP Analytics Cloud: Remote Data Connections – Data stays resident and live on-premise Integration with SAP BW Enhanced analytic capabilities ▪ Time Series chart ▪ Search to Insight via natural language query ▪ Data blending between SAP BW live data models with imported data models Integration with BW concepts ▪ Prompting support: BW Dynamic Filters ▪ Enhanced date-based calculations and filtering Integration with SAP HANA Data connectivity ▪ Live connection to SAP HANA 2.0 in SCP Cloud Foundry (via Hana Analytics Adaptor) Enhanced analytic capabilities ▪ Browser-based data blending ▪ Prompting support: Dynamic Input Parameters Integration with SAP Universes Enhanced analytic capabilities ▪ Calculated dimensions creation in Story ▪ Measure-based filters support ▪ Calculation Editor: Aggregation calculations Integration with SAP BW Enhanced analytic capabilities ▪ Additional chart types: waterfall, variance, geo map ▪ Complex filtering support with multiple dimensions ▪ Data blending enhancements: ▪ Between SAP BW live data models from same BW system ▪ Between SAP BW live data modes from different BW systems ▪ Between SAP BW live and SAP HANA live data models Integration with BW concepts ▪ Respect text presentation setting from BW query in Charts Integration with SAP Universes Live Universe Connectivity release 2.0.0 ▪ Enhanced performance Integration with SAP BPC Embedded Data connectivity ▪ SSO support for live connections to SAP BPC Embedded Integration with SAP BW Standard Adhoc Analysis ▪ Launch BW queries through URL with parameters ▪ Slice & dice analysis of data from BW queries Integration with SAP HANA Data connectivity ▪ Simplified live connection setup to SAP HANA 2.0 in SCP Cloud Foundry Integration with SAP Universes Continued investment of analytic capabilities ▪ Chart to chart filtering based on different models ▪ Threshold on measures ▪ Ranking ▪ Drill support on Universe hierarchies ▪ Search to Insight Continued integration with Universe concepts ▪ Support for Universe Details
  32. 32. 32PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. Extending options to prepare and analyze data ▪ SAP Analysis for Microsoft Office workflows and user experience based on SAP Analytics Cloud data ▪ Workflow starts in Excel – logon, browse for models, discover data ▪ Select table designs with SAP Analysis for Microsoft Office and perform conditional formatting ▪ Consume native cloud models as measure-based SAP Analysis for Microsoft Office models ▪ Work offline on a local snapshot of data ▪ Read-access for planning models Innovation with SAP Analytics Cloud: SAP Analysis for Microsoft Office Further information can be found in the SAP Analysis for Microsoft Office product roadmap: https://www.sap.com/canada/products/roadmaps.products-solutions.html Integration of SAP Analytics Cloud models ▪ Support of (native) planning models including write-back and version handling ▪ Stand-alone edition SAP Analysis for Microsoft Office, edition for SAP Analytics Cloud – initial version restricted to SAP Analytics Cloud import models – enforces authentication to SAP Analytics Cloud – available with all SAP Analytics Cloud subscriptions at no extra charge
  33. 33. 33PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP continues to invest into the on-premise BI Suite ▪ SAP plans to release the next version of the BI suite by Q4 2019 ▪ BusinessObjects BI 4.3 will then become generally available in Q2 2020 ▪ As per the Maintenance Policy, the maintenance will be extended to 2026 at a minimum While easing the adoption of SAP Analytics Cloud by on-prem customers. ▪ Customers will get a head start in their cloud analytics journey by leveraging existing on- prem assets SAP BusinessObjects BI 4.3: Cornerstone of SAP Analytics Hybrid Strategy BI 4.2 SP6 July 2018 BI 4.2 SP7 February 2019 BI 4.3 Q4 2019 BI 4.3 SP1 H1 2020 BOE maintenance to extend to at least 2026
  34. 34. 34PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ This is the current state of planning and may be changed by SAP at any time. 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 SAP BusinessObjects BI Timeline Priority 1 SupportXI 3.1 Extended Mainstream Maintenance Priority 1 Support Mainstream Maintenance until 2026+BI 4.3 Mainstream Maintenance Priority 1 Support 4.2 SP5 4.2 SP6 4.2 SP7 4.2 SP8 … BI 4.2 RTC GA 4.3 SP01 BI 4.1
  35. 35. 35PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BusinessObjects BI 4.3 Key Themes Enterprise Readiness Enhance ease of deployment and support latest industry standards Hybrid Provide a tighter integration between BusinessObjects BI and SAP Analytics Cloud User Experience Harmonize user experience and foster BI adoption with a Fiori like experience
  36. 36. 36PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BusinessObjects BI 4.3 Live Universe Connector 3.0 MetadataSAP Analytics Cloud ▪ Access on premise universe data without moving it to the cloud ▪ Apply Data Level Security ▪ Use powerful query capabilities ▪ Create visualizations using business terms On Premise customer trusted network Database SAP BusinessObjects BI Platform with Universes, and Live Universe Connector 3.0 Analyst laptop Data never leaves the customer’s network Live Data
  37. 37. 37PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BusinessObjects BI 4.3 Consume Web Intelligence data models in SAP Analytics Cloud Data Providers#1 #2 #3 #4 List of available objects: dimensions, measures, variables Data Model Re-use existing Web Intelligence documents to build new content SAP Analytics Cloud
  38. 38. 38PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Deliver SCIM (System for Cross-domain Identity Management) APIs ▪ Easily onboard existing on-prem users to the cloud (SAP Analytics Cloud / Analytics Hub) ▪ By user or user groups SCIM APIs can be used by Identity Provisioning Service to provision and synchronize BI Platform Users to SAC. SAP BusinessObjects BI 4.3 Hybrid User Management SCIM API BI Platform Users/Groups SAP Analytics Cloud
  39. 39. 39PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Select and identify BOE content ▪ Pushed automatically to appear as Hub assets ▪ Remain synchronized and up to date SAP BusinessObjects BI 4.3 Analytics Hub integration SAP BusinessObjects BI Platform SAP Analytics Hub
  40. 40. #askSAP Q&A
  41. 41. #askSAP Analytics Innovations Community Call Save the Date – June 6th Topic: SAP Strategy for Data and Analytics Prereading: From Data to Intelligence
  42. 42. 42PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Find out more about Augmented Analytics • SAP Analytics Blog: Steer your Business with Next-Generation Augmented Analytics • SAP Analytics Blog: If You Can’t Trust a Machine, Then Who Can You Trust? • SAP Analytics Blog: Solving Problems with Augmented Analytics vs Traditional Methods • SAP Analytics Blog: Smart Discovery: Machine learning for business users Find out more about SAP Analytics Cloud • SAP Analytics Cloud Product Updates and Plan • SAP Analytics Blog: Application Design – The other half of the brain • SAP Analytics Blog: Design Your SAP Analytics Cloud Stories for an Engaging Experience on Mobile Find out more about Hybrid Analytics • SAP Analytics Cloud Data Connections • SAP Cloud Extension Policy • What’s New with SAP BW/4HANA 2.0 Find out more about SAP Product Roadmaps Find out more – key resources
  43. 43. Join the SAP Leonardo International Focus Group (iFG) Community! This exclusive community is for SAP Leonardo implementations, innovation, and adoption. www.SAPLeonardoCommunity.com
  44. 44. Thank You
  45. 45. © 2018 SAP SE or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. The information contained herein may be changed without prior notice. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platforms, directions, and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, and they should not be relied upon in making purchasing decisions. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. All other product and service names mentioned are the trademarks of their respective companies. See www.sap.com/copyright for additional trademark information and notices. www.sap.com/contactsap Follow us

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