SAP BusinessObjects (BI) 4.1 on SAP HANA Piepaolo Vezzosi, SAP Product Strategy. Orange County Convention Center Orlando, Florida June 3-5, 2014

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1 SAP BusinessObjects (BI) 4.1 on SAP HANA Piepaolo Vezzosi, SAP Product Strategy Orange County Convention Center Orlando, Florida June 3-5, 2014

2 Learning points SAP HANA scenarios for business intelligence Data marts on HANA BW on HANA Suite on HANA BI 4 on SAP HANA How to connect Best practices Going beyond your usual BI thanks to SAP HANA Customer scenarios

3 SAP HANA

4 What is SAP HANA? A Platform for a New Class of Real-Time Analytics and Applications Real-Time Applications Core Business Application Planning and Optimization Data Warehousing Real-Time Analytics Accelerated Analytics Sensing and Response Predictive & Text Analytics Predictive Analysis & Business Function Libraries SAP HANA Text Search & Text Analysis Spatial Planning and Calculation Engine In-Memory Database Modeling Studio Real-Time Replication Services R and Hadoop Integration Data Services 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 4

5 Key SAP HANA Use Cases Agile Data Mart SAP BW on HANA SAP BI SAP BI Business Suite on HANA SAP Business Suite SAP Business Suite SAP Business Suite BW ERP CRM SCM SRM PLM SHAF Any DB HANA DB Any DB HANA DB HANA DB Business One on HANA Real-Time Apps on HANA 4 5 SAP Applications 6 SAP Business One SAP Business Suite HANA Apps HANA Cloud Solutions SAP Applications SAP HANA Cloud MS SQL HANA DB Any DB HANA DB Any DB HANA DB 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 5

6 BI on agile data marts

7 1.Agile Data Mart Agile Data Mart SAP NetWeaver BW on HANA SAP BI SAP BI Business Suite on HANA SAP Business Suite SAP Business Suite SAP Business Suite BW ERP CRM SCM SRM PLM SHAF Any DB HANA DB Any DB HANA DB HANA DB 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 7

8 A Closer Look at Data Management and Business Modeling with SAP HANA Data in HANA is managed with tables and/or information models Tables Row and column tables Storage of detailed operational raw data Information models Logical views of the data that define useful business models and logic on top of tables Analytic views Calculation views Created by the SAP HANA Studio, a database management and modeling tool for SAP HANA Information models do not store data SAP HANA Information models Tables 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 8

9 Enterprise BI with Direct Access to Information Models Plug-and-Play Access to Business Models and Business Logic in HANA Self-Service: Analysis, Explorer Dashboarding and Apps: Design Studio Reporting: Crystal Reports Direct access SAP HANA Information models Tables 2014 SAP AG. All rights reserved. 9

10 Universe Enterprise BI with Universe Access to Information Models Leverage Business Models and Business Logic in HANA SAP HANA Dashboarding and Apps: Dashboards Extended SQL Information models Reporting: Crystal Reports, Web Intelligence Tables 2014 SAP AG. All rights reserved. 10

11 Universe Enterprise BI with Universe Access to Tables Accelerate Existing BI Deployments Without Disruption SAP HANA Dashboarding and Apps: Dashboards Information Models Reporting: Crystal Reports, Web Intelligence SQL Tables 2014 SAP AG. All rights reserved. 11

12 Agile Visualization with SAP Lumira The Fastest, Most Engaging Way of Discovering Insights from Your Data Unlock the creativity of the analysts Pull together data from SAP HANA and a variety of corporate sources Manipulate, cleanse, enrich, and merge with personal data files Explore and analyze with powerful interactive visualizations Tight integration Direct access to information models Lightning-fast visualization of big and small data sets Self-service/no dependency on IT 2014 SAP AG. All rights reserved. 12

13 BI on BW on HANA

14 2.SAP NetWeaver BW Powered by SAP HANA Agile Data Mart SAP NetWeaver BW on HANA SAP BI SAP BI Business Suite on HANA SAP Business Suite SAP Business Suite SAP Business Suite BW ERP CRM SCM SRM PLM SHAF Any DB HANA DB Any DB HANA DB HANA DB 2014 SAP AG. All rights reserved. 14

15 SAP Lumira Predictive Analysis Supercharge Your Business Intelligence Without Disruption (cont.) Insights like never before with high-performance enterprise BI (cont.) Extend to agile visualization and advanced analytics SAP BusinessObjects BI BI Consumer Services SAP BusinessObjects BI BI Consumer Services SAP NetWeaver BW Data Modeling Analytical Engine Data Management Relational Database Data Storage SAP NetWeaver BW Data Modeling SAP HANA Analytical Engine Data Management Data Storage 2014 SAP AG. All rights reserved. 15

16 BW exposed as HANA views It is possible to expose SAP BW artifacts as HANA views Accessing BW information with any tool Infocubes, DSO, Queries as Infoproviders, CompositeProviders Keeps BW authorizations Key dates BW metadata changes Looses Hierarchies Non-cumulative key figures 2014 SAP AG. All rights reserved. 16

17 BI on Suite on HANA

18 3.SAP Business Suite Powered by SAP HANA Agile Datamart SAP NetWeaver BW on HANA SAP BI SAP BI Business Suite on HANA SAP Business Suite SAP Business Suite SAP Business Suite BW ERP CRM SCM SRM PLM SHAF Any DB HANA DB Any DB HANA DB HANA DB 2014 SAP AG. All rights reserved. 18

19 SAP HANA Live for SAP Business Suite The Operational Analytics Engine for Real-Time Business Intelligence SAP Frontend SAP BusinessObjects BI SAP Lumira SAP Business Suite (ERP, CRM, SCM, ) SAP HANA Live Virtual Data Model SAP HANA Predefined virtual data model Operational data available instantaneously Detailed data set for drill-down information Easy extension and customization 2014 SAP AG. All rights reserved. 19

20 SAP HANA Live Layers of HANA views on top of real-time Suite data HANA Live provides a set of predefined views on top of the SAP Suite tables SAP HANA database Access to real-time data Internal technical layers of views Public business layer of views Extensible and customizable ERP Tables 2014 SAP AG. All rights reserved. 20

21 Virtual Data Model example for Sales area 2014 SAP AG. All rights reserved. 21

22 SAP HANA Live Scope of the Virtual Data Model Check Latest RDS Scope Online: ERP Financials FI: General Ledger, Profit Center CO: Cost Center, Product Cost Logistics SD: Quote, Sales Order, Outbound Delivery, Invoice, Returns, Contracts, Credit/Debit Memo Requests MM-Inventory Management: Stocks, Goods Movements, Materials MM-Purchasing: Purchase Orders, Vendors, PP Production Planning: Planned order, Production order, Production confirmation, Work center, Capacity Enterprise Asset Management: Maintenance Order, Maintenance Order History, Maintenance Notification Project System: Project Core Objects (Projects, WBSelements, Milestones, Activities, Material Components) Cross-Application Business Process Insight: Process Observer Log, Procurement KPIs CRM Sales: Opportunity, Sales Order, Sales Quotation, Sales Contract, Sales Performance Management Marketing: Leads, Campaigns, Contract Tracking Interaction Center: Interaction records GRC Access Controls: Business Role Management, Access Risk Analysis, Compliant User Provisioning, Super Privilege Management Global Trade Services: Customs Management, Compliance Management Industry-Specific Content Insurance Claims Management: Loss and Payment Analysis, Outstanding Reserve Analysis Policy Management: Application Analysis, Contract Analysis 2014 SAP AG. All rights reserved. 22

23 Best practices

24 Best practices Build semantic models in HANA (or BW on HANA) Modeling should be done as much as possible in the HANA (or BW on HANA) layer. In order of priority: 1. (If you have BW on HANA) Model BW BEx queries for full BW functionality (and expose them as HANA views if useful) 2. Model HANA analytic views to guarantee performance 3. Model HANA calculation views for complex data manipulations 4. Model universes on HANA to help migrating existing BI projects or when you absolutely need functionality not yet available in HANA (e.g. dymanic joins, hierarchical prompts, etc.) 2014 SAP AG or an SAP affiliate company. All rights reserved. 24

25 Best practices Universes on HANA Universes are not necessary when connecting to HANA Modeling should be done in HANA views to guarantee performance BI client tools can directly connect to HANA views WebI today needs universes but they can be built automatically WebI team has plans to directly support views without universes BI client tools can directly connect to BW BEx queries on HANA Lumira/Predictive Analysis/Explorer today require universes or HANA views to connect to BW on HANA Lumira/Predictive Analysis have plans to directly support BEx queries on HANA 2014 SAP AG or an SAP affiliate company. All rights reserved. 25

26 Best practices Accessing HANA data marts from BI client tools When connecting a client tool to SAP HANA as a datamart, the following access methods should be used in order of priority: SAP HANA database 1. Direct access to HANA views 2. Single source universe access 3. Free hand SQL 4. Multi-source universe access HANA views Tables Higher priority access methods provide more functionality and higher performance 2014 SAP AG or an SAP affiliate company. All rights reserved. 26

27 Best practices Accessing BW on HANA from BI client tools When connecting a client tool to SAP BW on SAP HANA, the following access methods should be used in order of priority: SAP HANA database 1. Direct access to BEx Queries 2. Direct access to HANA views (generated from BW artefacts) 3. Single source universe on HANA views 4. Free hand SQL on HANA views 5. Multi-source universe access on BW artifacts Higher priority access methods provide more functionality and higher performance BEx BEx BW HANA views 2014 SAP AG or an SAP affiliate company. All rights reserved. 27

28 Going beyond What can your BI do more, thanks to SAP HANA

29 Going beyond In HANA text analysis with SAP Lumira Live demo or video 2014 SAP AG or an SAP affiliate company. All rights reserved. 30

30 Going beyond HANA time travel with Analysis Office Live demo or video 2014 SAP AG or an SAP affiliate company. All rights reserved. 31

31 Going beyond Speed-up Web Intelligence Live demo or video 2014 SAP AG or an SAP affiliate company. All rights reserved. 32

32 Customer scenarios

33 3-3-3 Optimization of Business Processes at Provimi 3 Days Proof/3 Weeks Implementation/3 Seconds CO-PA Analysis The company s top objectives Leverage investment in SAP rollout with real-time analytics Accelerate CO-PA reporting and analysis Shorten end-of-month data reconciliation and closing process The resolution SAP HANA with Finance Accelerator SAP BusinessObjects Analysis and Explorer on CO-PA models Rapid deployment solution to deliver within three weeks The key benefits Incremental cost savings and operational excellence Reduced cycle time for repetitive financial processes Business empowerment with interactive analytics.5 Million working capital reduction within a week 15,000x Faster analysis and insight 40% Speed-up of monthly close from 5 to 3 days 2014 SAP AG or an SAP affiliate company. All rights reserved. 34

34 2014 SAP AG or an SAP affiliate company. All rights reserved. 35

35 2014 SAP AG or an SAP affiliate company. All rights reserved. 36

36 Best-of-Breed BI at Lenovo with SAP NetWeaver BW powered by SAP HANA The company s top objectives Operational excellence in global shipment Timely and accurate reporting across all plants Improve utilization of SAP NetWeaver BW reporting tools The resolution Power SAP NetWeaver BW with SAP HANA 6 cubes with 100M+ records; 20 tables, 10M+ records SAP BusinessObjects BI 4.0 reporting The key benefits BW query performance improved from hours to minutes Acceleration of SAP BusinessObjects Web Intelligence reports Increased efficiency without disruption 60x Improvement in BW query performance 2-20x Web Intelligence performance improvement 2x Data compression 2014 SAP AG or an SAP affiliate company. All rights reserved. 37

37 Wrap-up

38 Key learnings How can SAP HANA be used for business intelligence How to best use BI 4 on SAP HANA How customer have deployed BI on SAP HANA

39 THANK YOU THANK YOU FOR PARTICIPATING Please provide feedback on this session by completing a short survey via the event mobile application. SESSION CODE: 0302 For ongoing education on this area of focus, visit

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