SAP Visual Intelligence Learn how to use SAP's ultimate solution for self-service BI!

SAP Visual Intelligence Learn how to use SAP's ultimate solution for self-service BI! Frank Rambo & Frank Bannert, Customer Solution Adoption (CSA) September 2012

Agenda Overview Data Discover Market Segment (aka Self-Service BI) What is SAP Visual Intelligence? Demo 1 : SAP Visual Intelligence on HANA Demo 2: SAP Visual Intelligence on BI Universes SAP Visual Intelligence vs BO Explorer Q&A

The Data Discovery Market Segment What is Self-Service BI? With their focus on IT driven standards and control, traditional Enterprise BI Platforms fail at delivering business users with the ease of use and flexibility they require. In addition, the shift from measurement to analysis, forecasting and optimization is in favor of the new Data Discovery (aka Self-Service BI) tools. Traditional Enterprise BI Platforms Key buyers* IT Business Approach* User interface* Top down, IT modeled (semantic layers), query existing repositories Report/key performance indicator (KPI), dashboard/grid Use case* Monitoring, reporting Analysis Data Discovery Platforms Deployment* Consultants Business users Focus Standards and control, several tools (separate design-time/run-time experience) Bottom up, business user driven, move data into dedicated repository Visualization & data exploration Ease of use and flexibility, one tool (merged design-time/run-time experience), shorter time to value *Source: Gartner Magic Quadrant for Business Intelligence Platforms (January 27, 2011) 2012 SAP AG. All rights reserved. 3

What is SAP Visual Intelligence? Self-Service BI for Business Analysts Value Proposition 1 Discover departmental data and share insights Value Proposition 2 Deploy this content into the enterprise Value Proposition 3 Consume SAP HANA enterprise content online SAP Visual Intelligence SAP Visual Intelligence SAP Visual Intelligence IQ Publish Explore & Visualize XL CSV SQL UNV UNX Information Models SAP HANA Information Models SAP HANA Acquire data from different sources and combine it Cleanse and manipulate the data Explore and visualize the data and share the results Publish SAP Visual Intelligence output models into SAP HANA Consume resulting HANA views with BI clients and SAP BO Mobile Explore & visualize SAP HANA views online Extract SAP HANA content locally and merge with personal data sources 2012 SAP AG. All rights reserved. 4

SAP Visual Intelligence Key Benefits Near-instant value for business user Ability to access and manipulate heterogeneous data sources High performance on big data Powerful visualizations for interactive analysis No IT or developer dependency and no scripting required Ability to leverage existing investments in SAP HANA or SAP BO Business Intelligence 2012 SAP AG. All rights reserved. 5

SAP Visual Intelligence 2012 Roadmap 1.0 Directly connect to HANA data Easy to use and quick to install Create interactive visualizations on top of HANA 1.0.1 Expanded data sources (HANA, Excel, Csv) Data merge and manipulation without scripting Visualize data via Explorer web and mobile SAP StreamWork integration 1.0.2 / 1.0.3/ 1.0.4* Expanded data sources (HANA, Excel, Csv, Freehand SQL) Non SMP auto update Add enterprise data acquisition: UNV, UNX 1.05* Visualization improvements Further integration with Explorer web and mobile Tier 1 Language support *Planned and subject to change! 2012 SAP AG. All rights reserved. 6

SAP Visual Intelligence 2012 On Premise / On-Demand Ecosystem On Demand StreamWork Web StreamWork Upload/Download to/from StreamWork On Premise Publish viz/dashboard BIP BIP Explorer Web SAP Visual Intelligence Publish model & data Consume model & data HANA BIP Explorer Mobile IQ 1.0.2 1.0.0 1.0.1 1.0.3/1.0.4 1.05 (Planned (July (May (June 15, 27, 2012) Subject to change!) HANA XL CSV SQL UNV UNX 2012 SAP AG. All rights reserved. 7

Summary: SAP Visual Intelligence for SAP HANA 1. Fast Get answers at high speed 2. Engaging Empower people to interrogate data 3. On Massive Data Volumes Add greater information context Real-time on detailed data on the fly Fewer layers, simpler landscape, faster ROI Intuitive discovery and analysis experience Self-service visualizations and analytics Ask any question Insight from structured and unstructured data On operational data for agility across your value chain 2012 SAP AG. All rights reserved. 10

DEMO 2 Access multiple data sources (CSV file and BusinessObjects Universe) Data manipulation and merge Group data and visualize Publish data to HANA and StreamWork 2012 SAP AG. All rights reserved. 11

Benefits SAP Visual Intelligence For the Business Self-Service Ability for end-users to create and visualize their own analytics without engaging IT For IT Total Cost of Ownership Leverage existing SAP HANA investment 1 unified platform to deploy and administer Faster Time to Analysis Achieve faster response time and better understanding with insight in visual form from diverse data sources Connected to the Enterprise Leverage existing data, security, and administrative services Increased User Adoption of Analytics Intuitive interface requiring minimal user training Secure One IT-sanctioned security model 2012 SAP AG. All rights reserved. 12

VISUAL INTELLIGENCE VS. EXPLORER: WHAT ARE THE DIFFERENCES?

Visual Intelligence vs. Explorer: 3 Differences 1. Data Acquisition 2. Data Transformation 3. Data Visualizations Acquire your own data from different sources Combine multiple data sources Transform data the way you want it Make data better suited for discovery and analysis Build your own visualizations More granular control and advanced options 2012 SAP AG. All rights reserved. 15

SAP Visual Intelligence Information Resources Get your free trial on www.sap.com/trysapvisualintelligence Link collection of all available material http://scn.sap.com/docs/doc-29107 SCN Community http://scn.sap.com/community/visual-intelligence Visual Intelligence on YouTube http://www.youtube.com/playlist?list=pl8ff03148ad0742b1 End User Help http://help.sap.com/vi Webinars on SCN http://scn.sap.com/community/webinars/business-analytics 2012 SAP AG. All rights reserved. 16

Thank You! Contact information: Frank Rambo, Frank Bannert CSA.VI@SAP.COM blogs.sap.com/analytics facebook.com/sapanalytics twitter.com/#!/@businessobjects

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