Best Practice Report

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

 and  four contributors
May 29, 2014

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.

Log in to continue reading
Client log in
Welcome back. Log in to your account to continue reading this research.
Become a client
Become a client today for these benefits:
  • Stay ahead of changing market and customer dynamics with the latest insights.
  • Partner with expert analysts to make progress on your top initiatives.
  • Get answers from trusted research using Izola, Forrester's genAI tool.
Purchase this report
This report is available for individual purchase ($1495).