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Introducing SAP Predictive Analysis
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SAP Predictive Analysis is a new, powerful solution helps you uncover trends and patterns from your Big Data ecosystem and existing data warehouses and legacy systems.

With predictive Analysis, analysts build predictive models and visually interact with the data to discover hidden insights and relationships, and make predictions about future events. It helps the business reach its goals by revealing untapped opportunities and hidden risks hidden in vast amounts of data. Predictive Analysis can be deployed as part of a HANA Big Data deployment, as part of a BusinessObjects BI deployment, or standalone for smaller projects.

With SAP Predictive Analysis your organizations can:

  • Intuitively design complex predictive models
    • Read and write from data stored in HANA, BusinessObjects Universes, Sybase IQ, Oracle, and other sources
    • Use a drag-and-drop visual interface for data selection, preparation, and processing
    • Employ powerful, native predictive algorithms and leverage the R open-source statistical function language
  • Visualize, discover, and share hidden insights
    • Learn from stunning, advanced visualizations
    • Share insights via PMML and with other BI client tools
  • Unleash the value of Big Data by leveraging SAP HANA’s power
    • Real-time, in-memory performance
    • With fast in-database predictive power
    • Leveraging a growing Predictive Analysis Library and R open-source algorithms

SAP Predictive Analysis is currently in Ramp Up, a program designated to give customers and early adopters access to the software for evaluation within their own environment and to provide critical feedback to SAP.

To sign up for the SAP BusinessObjects Predictive Analysis Ramp-Up program, please visit us the Ramp-Up Homepage on Service Marketplace.

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2 Comments

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  1. Jean-Bernard Rolland

    Scott,

    This is really interesting. Henner Schliebes and myself, together with the SuccessFactors team, would be interested to discuss our thoughts on how this could be relevant for HR.

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