Best Practice Report

Q&A: How To Energize Your Enterprise BI Platform With Integrated Predictive R Models

May 29th, 2014
Boris Evelson, Vice President, Principal Analyst
Boris Evelson Vice President, Principal Analyst
With contributors:
Mike Gualtieri , Martha Bennett , Holger Kisker, Ph.D. , Nasry Angel

Summary

The business intelligence (BI) market is slowly but surely broadening and extending its reach into new areas beyond basic reporting, analytics, and dashboards. Data exploration, text, geospatial, and predictive analytics are just some of the new advanced analytics capabilities that started in their own market segment, but were eventually consumed and embedded into broad BI platforms. Most leading BI vendors now claim that they provide out-of-the-box integration with predictive analytics capabilities. However, Forrester finds that such integration is not always created equal. In this report, Forrester reviews key questions application development professionals should ask when evaluating integration of one of the most popular predictive analytics languages — open source R — with BI platforms.

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