An Introduction to SAP Predictive Analysis and How It Integrates with SAP HANA

  • by Decision First Technologies
  • Hillary Bliss, Analytics Practice Lead, Decision First Technologies
  • June 30, 2013
In this exclusive report, take a walk into the world of SAP Predictive Analysis and how it ties into SAP HANA and SAP Lumira (formerly known as SAP Visual Intelligence). Learn the importance of general predictive modeling concepts, and then apply those concepts as part of a bigger discussion about the architecture and features of SAP Predictive Analysis. Finally, get an early peek at what’s coming for SAP Predictive Analysis in the near future.
Key Concept

A predictive model is an equation, algorithm, or set of rules used to predict an outcome based on input data. Predictive models can simply be a set of business rules based on past observations, but to develop more accurate and statistically rigorous predictions, statistical algorithms for developing the predictive equation are often used. 

SAP Predictive Analysis is the latest addition to the SAP BusinessObjects BI suite and introduces new functionality to the existing BusinessObjects toolset. Predictive Analysis extends the visual intelligence offerings of SAP Lumira (formerly known as SAP Visual Intelligence) to include new predictive functionality powered by both open source R and SAP-written algorithms. Predictive Analysis was first released for general availability in mid-November 2012 (version 1.0.7), and there have been several releases in 2013 with additional functionality.

Predictive Analysis replaces SAP’s Predictive Workbench tool, which was last updated in December 2011. Predictive Workbench was a client-server tool based on the SPSS PASW modeler engine (supported by SPSS from late 2009 through late 2010). However, after SPSS was acquired by IBM in 2009, SAP was no longer able to license upgraded versions of the predictive engine, effectively mothballing Predictive Workbench.

In this detailed special report, I first provide an overview of the generic predictive modeling process before going into details about SAP Predictive Analysis modeling engines and the software’s features and functionality. I also look at how Predictive Analysis integrates with Lumira and SAP HANA.

Specific topics covered in the report include the following:

  • Predictive modeling overview
  • Flow of data in the modeling process
  • Predictive Analysis prerequisites and skills
  • Modeling engines
  • Detailed look at predictive analysis
  • Lumira functionality
  • Predictive Analysis architecture
  • Predictive Analysis functionality

Decision First Technologies

Decision First Technologies (DFT) is a professional services company specializing in delivering end-to-end business intelligence solutions to its customers. An SAP gold-channel partner and six-time SAP BusinessObjects Partner of the Year, DFT resells and offers certified consulting, training and technical support for all analytics as well as database and technology products in the SAP BusinessObjects portfolio. DFT’s comprehensive BI solutions allow users to access, analyze, and share information stored in multiple data sources, including SAP and non-SAP environments. The company’s data warehousing practice designs and implements enterprise solutions utilizing SAP Business Warehouse, appliances such as SAP HANA or traditional relational database technologies. With more than 10 years of experience, DFT has helped hundreds of companies make better business decisions, dramatically reducing costs, increasing revenues, and boosting profits. For more information on Decision First, visit or follow on Twitter @DecisionFirst.

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Hillary Bliss

Hillary Bliss is the analytics practice lead at Decision First Technologies and specializes in data warehouse design, ETL development, statistical analysis, and predictive modeling. She works with clients and vendors to integrate business analysis and predictive modeling solutions into the organizational data warehouse and business intelligence environments based on their specific operational and strategic business needs. She has a master’s degree in statistics and an MBA from Georgia Tech. You can follow here on Twitter @HillaryBlissDFT.

Hillary will be presenting at the upcoming SAPinsider Customer Engagement & Commerce 2017 conference, June 14-16, 2017, in Amsterdam. For information on the event, click here.

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