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#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovation Update (Oct 2018)

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Analytics are the window into an Intelligent Enterprise and the landscapes are always changing, evolving, and improving. We’ve gone from ‘governed BI’ to ‘modern and agile BI with data discovery’, to the acceptance of cloud analytics and now emergent ‘smart BI’ using AI and machine learning to provide natural language interfaces. Innovation is moving both technology and the benefits it can offer organizations rapidly forward - on premise, in the cloud, and hybrid.

Discover how we’re bringing analytics together, making analytics easier, and delivering modern innovation in the cloud. Visit www.sap.com/asksap

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#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovation Update (Oct 2018)

  1. 1. PUBLIC #askSAP Analytics Innovations Community Call October 18, 2018 SAP Analytics Fall 2018 Innovation Update
  2. 2. 2PUBLIC© 2018 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© 2018 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 reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions. Disclaimer
  4. 4. 4PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Today’s speakers Steve McHugh Dir., Enterprise BI / Hybrid Analytics Product Marketing, SAP Gerrit Kazmaier SVP, SAP Analytics, SAP HANA, and Database and Data Management, SAP Richard Mooney Head of Product Management, Predictive Analytics and Machine Learning, SAP Adrian Westmoreland Product Management, SAP Analytics Cloud Lothar Henkes Vice President Product Management, SAP Vision SMART Predictive Hybrid Analytics and BI 4.3 SAP BW4/HANA with SAP Analytics Cloud Ingo Hilgefort Chief Product Expert, SAP Analytics Cloud Application Design SAP Analytics Cloud Moderator
  5. 5. 5PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Augmented Analytics • Identify unseen correlations with Search to Insight • Smart discovery 2.0 accelerates deployments by autogenerating a complete series of dashboards • Smart predict empowers new citizen data scientists Intelligent Enterprise • Beta launch for SAP SuccessFactors embedded analytics and people analytics • Amplify partner developed business content • Announcement of application design and APIs Hybrid Environments • Optimized live universes • Bridge environments with SAP Analysis for Office, for SAP Analytics Cloud ( SAC) • Roadmap announcements for SAP BusinessObjects BI Platform 4.3 and SAP Lumira Designer • Optimized SAP Business Planning and Consolidation (BPC) connectivity (S/4) Collaborative Enterprise Planning • Model linking/cross LoB planning on single planning platform • Optimized presence on SAP.com • New collateral and event content FIU18 Major themes and announcements
  6. 6. SAP Analytics VisionGerrit Kazmaier, SVP, SAP Analytics, SAP HANA, and Database and Data Management, SAP October 18, 2018
  7. 7. 44 by 2020
  8. 8. 8© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document 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 8CUSTOMER PB TB*
  9. 9. 9PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ “When faced with a difficult question, we often answer an easier one instead, usually without noticing the substitution.” Daniel Kahneman
  10. 10. Smart Analytics Networked Planning One. Simple. Cloud. Operational Predictive Agile Semantics HANA Data Fabric
  11. 11. PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics Cloud Boardroom | Web | Mobile | NLP BI | Planning | Predictive Agile Semantics | HANA Data Fabric SAP Analytics Hub SAP BusinessObjects Business Intelligence Suite SAP BW/4HANA SAP Business Planning and Consolidation SAP HANA SAP Data Hub SAP S/4HANA & LoB 3rd Party Cloud On-Premise 3rd Party
  12. 12. 12PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ The Intelligent Enterprise Digital Core People Engagement Manufacturing & Supply Chain Customer Experience Network & Spend Management Data Management Cloud Platform Intelligent Technologies AI IoT Analytics Machine Learning Digital Platform Intelligent Suite Analytics
  13. 13. 13PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Smart Assist Deliver Simplicity through Machine Learning Integrate machine learning seamlessly into business processes and workflows Leverage machine learning to save time, remove complexity, and gain actionable insights
  14. 14. 14PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP DWaaS Components SAP Data Warehouse (aaS) on SAP Cloud Platform Visualisation & Collaboration Data Modelling & Management Data Storage & Integration Services SAP Analytics Cloud SAP HANA (aaS) Modelled DW SAP Data Hub SQL DW Sources Internal & External Relational Non- Relational File This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of any kind, either express or implied, including butnot limited to, the implied warranties of merchantability, fitness for a particular purpose,or non-infringement. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent.
  15. 15. #askSAP Vision Q&A
  16. 16. SAP Analytics SMART PredictRichard Mooney, Head of Product Management, Predictive Analytics & Machine Learning, SAP October 18, 2018
  17. 17. 17PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ The digital era is evolving into the intelligence era 1960s-1980s 1990s-2000s 2000s-2010s 2010s-2020s Time Productivity Industrial Automation Business Process Automation Digital Automation Intelligent Enterprises
  18. 18. Work Smarter with Augmented Analytics
  19. 19. 19PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Explain anything with a single click Faster answers, delivered naturally Artificial intelligence made accessible The smart analytics journey
  20. 20. 20PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ • Enable business analysts to build trusted and actionable predictions with ease • Create predictions to determine the next best course of action • Generate hyper-personalized insights into your customers, vendors, and suppliers • Classification, Regression, Time Series Analysis • Regional rollout Smart Predict launched in September
  21. 21. 21PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Smart assist and smart predict Content generation Actionable predictionsPattern detection ▪ Search the way you naturally would and automatically generate visual answers ▪ Enhance these visuals with automatic in-context explanations ▪ Identify unique groups and trends in your visuals with the click of a button ▪ Forecast future values based on historical data ▪ Predict the likelihood of future events occurring to drive the best possible outcome ▪ Embed machine learning insights back into plans and stories ▪ Quickly develop a clear understanding of intricate aspects of your business data ▪ Click on a data point to get smart textual and visual insights ▪ Example: Want to know more about your Revenue in the Product Category: Bikes? Smart insights panel offers an explanation
  22. 22. 22PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Q4/2018 Q2/2019 +Q1/2019 SAP Analytics Cloud smart predict Smart Predict ▪ User interface simplification and improvement to ensure business analysts can use smart predict independently End to End Predictive Scenarios ▪ Extend acquisition support of datasets to SQL databases ▪ Predictive analytics content network first use case: invoice payment forecasting End to End Predictive Scenarios  Publish predictive scenario to SAP S/4HANA on-premise applications (through SAP Predictive Analytics integrator)  Additional predictive analytics content network use cases  Export output predictive datasets Smart Predict ▪ Guided data preparation and automated generation of features ▪ Scheduled automated predictions refreshment and quality testing ▪ Extend predictive scenario scope (clustering, multi-class classification, …) ▪ Extend predictive outputs (reason codes) End to End Predictive Scenarios ▪ Live SAP HANA data connections ▪ Publish predictive scenario to SAP S/4HANA Cloud applications (through SAP Predictive Analytics integrator)
  23. 23. Demo SMART Predict - SAP Analytics Cloud
  24. 24. #askSAP SMART Predict Q&A
  25. 25. SAP Analytics Hybrid Analytics & BI 4.3 Adrian Westmoreland, Product Management, SAP Analytics Cloud October 18, 2018
  26. 26. 26PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics strategy is hybrid Run the Business Optimize Lower Costs Grow the Business Plan Ahead Innovate CloudOn Premise SAP Analytics BI Governed BI, Reporting and Data Discovery Planning Business Planning and Consolidation Predictive Predictive Analytics/ML SAP Analytics Cloud SAP Digital Boardroom SAP Analytics Hub Data Harmonization SAP BW/4HANA Modern Data Warehousing BI, Planning and Predictive/ML integrated in one solution Users | Applications | Data Connect
  27. 27. 27PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Key Results: • 82% percent of companies agree that hybrid analytics/BI and data processing is a critical next step in the evolution of their analytics/BI • The majority of companies (60%) see some sort of hybrid configuration as the next iteration of their analytics/BI • Nearly two-thirds of companies anticipate that the future state of their analytics/BI and data processing will be comprised of a mix of on-premise and cloud resources • 71% of companies said they would feel less concerned about running analytics in the cloud if they knew that no data (including query results) would ever cross the firewall • 95% of respondents indicated that AI, machine learning, and IoT are important considerations for the future of their analytics/BI SAP and Forrester hybrid research Surveyed 485 analytics and BI decision makers with involvement in their organization’s business technology and analytics/BI strategy. Companies surveyed were from the US, Canada, Mexico, Brazil, UK, Spain, Italy, France, Germany, India, China, Korea, Japan, and Australia and had employee counts of 1,000 or more.
  28. 28. 28PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ • Deploy analytics on premise or in the cloud • SAP BI hybrid pricing: one license, one contract, 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 • Interoperability between SAP BusinessObjects BI (BOE) and SAP Analytics Cloud Hybrid analytics digital innovation without disruption
  29. 29. 29PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics Hub: a single front end for all analytics content SAP BusinessObjects Enterprise SAP BWThird-PartySAP Analytics Cloud Simplify access to all analytics Increase IT Efficiency Avoid chaos, increase usage Enable BI Governance by moderators in the community
  30. 30. 30PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ ▪ Cloud-based single point of access for on-premise and cloud analytics provides a unified user experience independent of the content or deployment type. ▪ Business users have a simple way to search for content, get information, and access analytics. ▪ Content can be documented, categorized, and curated by power users, who can publish links to selected analytics and provide information for the business users. ▪ SAP Analytics Hub only stores metadata, not actual data or analytics. SAP Analytics Hub today Seamless access to any live deployment SAP Analytics SAP BWThird party SAP Analytics Cloud
  31. 31. 31PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP continues to invest on the on-premise BI Suite: ▪ SAP plans to release the next version of the BI suite by Q4 2019. This release, currently referred to as 4.3, will then become generally available in Q2 2020. ▪ As per the Maintenance Policy, the mainstream maintenance will be extended to 2026 at a minimum. ▪ SAP will continue to deliver innovations in new versions of the core BI on-prem products: BI platform, Lumira Server, Web Intelligence, Crystal Reports, Lumira Designer and Analysis for Office. ▪ SAP plans to deliver new releases of BI add-on clients, in alignment with the BI suite shipments. SAP’s continued commitment to the on-premise Business Intelligence Suite BI 4.2 SP6 July 2018 BI 4.2 SP7 Q1 2019 BI 4.3 Q4 2019 Timeline BI 4.3 SP1 H1 2020 BOE maintenance to extend to at least 2026
  32. 32. 32PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BI 4.3 key themes Enterprise Readiness • Enhance scheduling and publishing frameworks • Simplify installation and deployment • Comply with highest security and product standards • Support new versions of data sources, applications and OS • Simplify IaaS deployment Hybrid • Leverage existing on prem assets such as universes, WebI documents • Simplify SSO configuration, and user management across cloud and on-prem platforms • Improve integration with SAP Analytics Hub User Experience • New WebI report designer, focus on HTML5 to replace java applet • Complete functionality of new BI launchpad • Provide customer enhancements to key BI suite components
  33. 33. 33PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ • Most complete BI solution available supporting the full range of use cases for reporting, data discovery, analytic applications, and Office integration. • Live connectivity to SAP data - All other competitors require extraction and movement of SAP data to the cloud which presents performance and security concerns for customers. • SAP hybrid approach with “fast track to cloud” – Important bridge for customers to enable digital transformation including analytics • AI-infused analytics and analytic tools (leap frogging best-of-breed players) with smart data discovery and SAP application integration • Ability to support a complete digital transformation which is a disruptive wave that SAP can deliver today SAP BusinessObjects BI and SAP Analytics Cloud – “better together”
  34. 34. #askSAP Hybrid Analytics & BI 4.3 Q&A
  35. 35. SAP Analytics Application Design - SAP Analytics Cloud Ingo Hilgefort, Chief Product Expert, SAP Analytics Cloud October 18, 2018
  36. 36. 36PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Application design Professional design of centrally governable analytic content ranging from dashboards via guided analytics to sophisticated planning and smart predict applications Overview ▪ Intuitive design environment in browser ▪ Large set of design widgets ▪ Function-rich scripting editor ▪ Theming and customization ▪ SDK extensions ▪ Application and story share data connectivity and UI artifacts ▪ Widgets with charts or tables can be re-used in stories
  37. 37. 37PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Application design Released to a few select beta customers ▪ Simple widgets: icons, buttons, dropdown menus, check box group, radio button group ▪ Data-driven widgets: tables, charts, filterline ▪ Layout widgets: pop-up ▪ Interactions (e.g. filter, cascading behavior) between different widgets via scripting including global variables ▪ Dynamic switch between widgets (e.g. chart and table) at application run time ▪ Dynamic and flexible selections on crosstab ▪ Clear structure – Layout outline with context menu to add and edit scripts – Design area – Properties and script editor ▪ Scripting capabilities – Subset of JavaScript – Content assistance available – getDimension(), setFilter(), etc – Completeness and syntax check – Glance several scripts at once – Commenting and uncommenting
  38. 38. Demo Application Design - SAP Analytics Cloud
  39. 39. 39PUBLIC© 2018 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. Dropdown box cascading behavior ▪ Result of the selection in one dropdown can influence the selection options of the other dropdown box ▪ Can be done via scripting capability Application design Recent innovations
  40. 40. 40PUBLIC© 2018 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. Dynamic switch widgets (e.g. table and chart) at application runtime ▪ Define widgets at design time ▪ Set visibility properties in styling panel at design time ▪ Using scripting capability to show or hide the widgets at application runtime Application design Recent innovations
  41. 41. 41PUBLIC© 2018 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. Selection on crosstab ▪ On select event can be defined for crosstab ▪ Different selected value based on data cell in crosstab can be transferred as filter value to other widget Application design Recent innovations
  42. 42. 42PUBLIC© 2018 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. Application on-initialization ▪ Application on-initialization event can be defined at design time ▪ Using scripting capability to define the application on- initialization event ▪ Gaining the flexibility to add custom parameters for initial loading of applications (e.g. different start up view) Application design Recent innovations Start Up view with chart and dimension location Start Up view with Table and dimension Product
  43. 43. 43PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Application design Planned capabilities Integrating Planning Capabilities: ▪ Support standard planning features (like mass data entry, lock cell, add comment, planning enabled, data action trigger etc.) via context menu in analytical applications ▪ Provide scripting capability to trigger the planning specific functionalities (like version management, refresh data, publish/revert data, value lock management etc.) Integrating Smart Capabilities: ▪ Leveraging smart assist features with scripting access in analytical applications – Time series forecasting – Smart Grouping (clustering) – Smart Insights – Smart Discovery – R visualizations ▪ Integrating smart predict ▪ Import predictive models in to app design ▪ Apply predictive model ▪ Consume predictive result
  44. 44. #askSAP Application Design Q&A
  45. 45. SAP Analytics SAP BW4/HANA with SAP Analytics CloudLothar Henkes, VP Product Management Ingo Hilgefort, Chief Product Expert, SAP Analytics Cloud October 18, 2018
  46. 46. 46PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC SAP BW/4HANA – Key Simplifications Simplified models Simplified Data Flows Comprehensive access to all data • Number of Modelling object types reduced from 10 to 4 • Field or InfoObject based Modelling • Support for external, structured and unstructured data • Reduced data layers • Business and service level driven • Report at any layer with speed and flexibility • Easier access to all information • Work with HANA in BW mode, or in native SQL mode, or both • Load data using optimized processing Virtualization, Virtual Data Marts Open ODS Layer/ Raw DWH Propagation Layer/ Integrated DW Source mandatory layer optional layers depending on required business and service level HANA Source System ODP Source System Big Data Source System File Source System SAP EIM SAP BW/4HANA SAP HANA real-time replication direct access data load SAP Data Big Data FileNon-SAP Data Text Email Social Media Structured RDBMS /Hadoop File ODQ Extractors SLT ABAP CDS BW Business ByDesign Hadoop HIVE SPARK VORA MultiProvider 1 1 1 CompositeProvider 3 Transient Provider 5 PSA Table 9 Hybrid Provider 8 InfoSet 2 2 2 Virtual Provider 4 DataStore Object 7 InfoCube 6 CompositeProvider 1 Open ODS View 2 3 InfoObject 4 Classic SAP BW VirtualizationPersistency SAP BW/4HANA InfoObject10 advanced DataStore Object Architectured Data Marts Staging Layer/ Corporate Memory Service Level
  47. 47. 47PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Modern UI: faster to learn, easier to use For BW/4HANA Modelers Unified UI for end-to-end data modeling using the BW modeling tools* • New data transfer process editor • New transformation editor For BW/4HANA Administrators Introducing SAP BW/4HANA cockpit - the single entry point for administration and monitoring • Delivered via Fiori Launchpad • New applications for, • Process chain modelling • Process chain monitoring • InfoObject and aDSO management • Access from any device * Requires BW modeling tools version 1.19+ New DTP Editor SAP BW/4HANA Cockpit New Transformation Editor
  48. 48. 48PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Openness: big data integration Integration with SAP Data Hub • Combine refined big data with enterprise data and corporate master data • Extract or federate data into SAP BW/4HANA • Start SAP Data Hub task workflows from SAP BW/4HANA process chain • Specific process type “data hub workflow”
  49. 49. 49PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ New Storage Options • Support for cold storage in SAP HANA Vora (disk engine) • Support for cold storage in the Hadoop File System (HDFS) • Support for multiple extension nodes Simplicity: simplifying data lifecycle management SAP HANA Extension Nodes SAP IQ/ Hadoop/ SAP VORA Automatic Displacement of Data Hot Data Warm Data Cold Data Allocate by aDSO or aDSO partition Allocate by aDSO or aDSO partition SAP IQ / Hadoop storage/ SAP VORA (disc engine) Allocate by aDSO partition
  50. 50. 50PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA: conversion, what is next? Flexible Conversion Options • In-place conversion • Remote conversion • Shell conversion What is next • SAP BW/4HANA 2.0 • Planned for February, 2019 • https://www.sap.com/documents/2017 /06/066ab828-c37c-0010-82c7- eda71af511fa.html
  51. 51. 51PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Direct. Secure. Simple. ▪ Simply connect to BW Queries or generated HANA views in your on-premise BW systems ▪ No additional modeling in SAC needed (renaming and grouping of measures and dimensions is possible) ▪ No data replication into SAC ▪ Data remains behind your corporate firewall all the time when running queries and displaying results ▪ No authorization replication needed: BW authorizations are fully respected Best possible end-to-end integration ▪ Use of unique best-in-class query interface to BW and HANA engines ▪ Ability to access BW and HANA features that cannot be accessed through standard query interfaces (SQL, MDX) SAP Analytics Cloud integration with SAP BW and BW/4HANA Unique direct connectivity
  52. 52. 52PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Variables ▪ All variable types supported Hierarchies ▪ Support of universal display hierarchy (UDH) ▪ Support of time-dependent hierarchies / hierarchy structures ▪ Use of hierarchies in table and charts Query runtime integration ▪ Merge/unmerge variable prompts ▪ Parallel execution of BW queries (#of parallel sessions configurable by admin) Other BW specific capabilities ▪ Display queries with two structures ▪ Respect initial view from query definition ▪ Respect query settings such as sorting, dimension presentation, result display, zero suppression as default in initial query display ▪ Support of conditions defined in the BW query (Top/bottom N, threshold, mixed) SAP Analytics Cloud integration with SAP BW and BW/4HANA Available BW query feature support
  53. 53. 53PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Spotlight: Live data connectivity to SAP BW and SAP BW/4HANA Enhanced BW hierarchy handling Time dependent hierarchies ▪ Easily visualize different data views of a hierarchy, valid for a specific time period – Entire hierarchy as time dependent ▪ Easily visualize data model relationships that change time-dependently – Hierarchy structure as time dependent
  54. 54. 54PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Spotlight: Live data connectivity to SAP BW and SAP BW/4HANA BW structures support BW Structures ▪ Easily visualize line of business data from BW structure concepts – Leverage BW queries with two structures – Calculated value of cell definitions created with the cell editor in BEx query designer is supported
  55. 55. 55PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Spotlight: Live data connectivity to SAP BW and SAP BW/4HANA BW variants and personalization support BW Variants ▪ Save time by using variants to specify the values for several BW prompts simultaneously – Use existing variants stored in SAP BW – Private and public variants can be chosen – Consumption only Personalization ▪ User-specific personalized values assigned to BW prompts are leveraged – Consumption only
  56. 56. 56PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Spotlight: Live data connectivity to SAP BW and SAP BW/4HANA Enhanced BW variable support New enhancements for BW variable support ▪ Support for exit/authorization variables defined as input ready ▪ New operators: ability to define range exclusions on dimension members ▪ Value Help: ability to show booked values based on defined setting in the BW query
  57. 57. 57PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Spotlight: Live data connectivity to SAP BW and SAP BW/4HANA Enhanced model management Dimension and measure settings in model ▪ BI administrators can organize, and harmonize business metadata without dependence on IT – Dimension grouping – Dimension rename – Dimension hide / show – Measure rename – Measure scale and decimal configuration ▪ Facilitate business users need for easy downstream development of BI content
  58. 58. #askSAP Q&A
  59. 59. Find Out More – Key Resources
  60. 60. 60PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Find out more – Key Resources Find out more about SAP SMART Predict ▪ SAP Analytics Blog: The Future of Analytics is Smart ▪ Introduction to SMART Predict ▪ SAP Analytics Cloud ▪ SAP Predictive Analytics Find out more about Hybrid Analytics ▪ SAP Analytics Blog: Building a Hybrid Strategy ▪ SAP Analytics Hub ▪ SAP Analytics Cloud ▪ Customer Story - Lincoln Sentry: Tackling Data Insight with a Hybrid BI Approach Find out more about SAP BW/4HANA ▪ SAP BW/4HANA Find out more about SAP Product Roadmaps
  61. 61. Thank you.
  62. 62. © 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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