SAP Predictive Analysis is the latest addition to the SAP BusinessObjects suite and introduces entirely new functionality to the existing Business Objects toolbox. Predictive Analysis integrates SAP’s Visual Intelligence data visualization tool with new predictive functionality powered by both open source R and SAP-written algorithms. Predictive Analysis includes algorithms for time series forecasting (for predicting sales, demand, price, and other time-dependent metrics), clustering (for identifying distinct groups of individuals based on numeric descriptive data), decision trees (for creating a tree-like set of decision support rules to categorize observations), and linear regression (for fitting linear relationships between a dependent variable and one or more predictors). These predictive algorithms can be used to extract insights and predictions, improving the value and actionability of the existing Business Intelligence infrastructure. Predictive Analysis combines these powerful predictive algorithms with a familiar and easy-to-use tool that integrates with existing BusinessObjects tools to make data preparation, model building, and implementation faster and easier than ever before.
SAP Predictive Analysis is installed locally on the user’s machine and accesses data for processing locally (from a CSV, Excel, or ODBC connection to a database) or on SAP HANA. Predictive Analysis can be used alone to analyze data on the client machine or can be paired with HANA, allowing PA to leverage the powerful in-memory processing power of SAP HANA.
Today’s blog post is a brief how-to for getting SAP Predictive Analysis installed and working for both local data and on HANA. Since Predictive Analysis has the power to run local R algorithms, HANA-R algorithms, and HANA Predictive Analysis Library (PAL) algorithms, installation is somewhat complex. Installation steps include:
1.) Installing PA
2.) Installing R on local machine
3.) PA HANA PAL installation/activation
4.) R and Rserve Linux Installation and HANA Rserve setup
The following items are required to perform the full installation:
• Predictive Analysis installation files for version 1.0.8 (or latest available)
• An internet connection to install R and required packages
• SAP HANA
• A Linux R/Rserve host (SAP currently only supports SUSE Linux)
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About Hillary Bliss
Hillary Bliss is a Business Intelligence Consultant specializing in data warehouse design, ETL development, statistical analysis, and predictive modeling. Hillary works with clients and vendors to integrate business analysis and predictive modeling solutions into data warehouses based on their data and business needs. With Decision First Technologies, Hillary uses Data Services, Web Intelligence, Predictive Analysis, and HANA. Hillary has a Master’s in Statistics and an MBA from Georgia Tech.