River Logic's Enterprise Optimizer (EO) puts Prescriptive Analytics to work

  • Quickly build planning and decision support applications
  • Use prescriptive analytics to anticipate change and improve outcomes
  • Strengthen Business Intelligence
  • Apply flexible, advanced what-if optimization analyses
  • Drive high impact decisions throughout the enterprise
Discover the Enterprise Optimizer Platform

Business<br />Analytics ToolsBusiness
Analytics Tools
Embed prescriptive analytics into packaged or custom solutions to deliver more value and differentiation.
Enterprise Optimizer<br />Solution ShowcaseEnterprise Optimizer
Solution Showcase
Adopt next generation analytics and new, white-space solution to improve performance.
Researchers and<br /> AcademiaResearchers and
Uncover unique approaches to solving business decision making problems.
River Logic<br />Partner ProgramRiver Logic
Partner Program
We deliver highly differentiated integrated planning and decision support solutions to our Partners’ clients.

Prescriptive Analytics Software

River Logic enables customers, OEM, solution and distribution partners to embed next-generation prescriptive analytics in their strategy, operational planning, and decision support solutions.   Our Enterprise Optimizer® (EO) platform drives our differentiation and yields significant commercial advantages to partners developing on the platform or taking existing solutions to market. Learn more about partner opportunities.

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In The Spotlight

 FERF and GT research

Financial Executives Research Foundation and Grant Thornton publish breakthrough research on Prescriptive Analytics. Download the white paper and/or attend the webinar



The Advisory Board to present Healthcare Provider case studies on Prescriptive Analytics at upcoming TDWI conference on October 23, 2014.


Advanced Prescriptive Modeling and Risk Analytics for Utilities
Yorkshire Water, Business Modelling Associates and Cranfield University to speak at Water Research Foundation on Asset Management and Economics on December 3-4, 2014 and at Integrated Risk Management conference on December 7-8, 2014.