Predixion Software Launches Partner Network

The Predixion Partner Network is focused on implementing self-service predictive analytics solutions utilizing the Microsoft business intelligence platform

Predictive Analytics World 2011

SAN FRANCISCO--()--Predixion Software today launched the Predixion Partner Network, a new practice dedicated to working with business intelligence-focused consulting partners to deliver low-cost, self-service predictive analytics solutions utilizing the Microsoft business intelligence (BI) platform. In addition, the partner network will build out a cloud-based marketplace of industry solutions for the financial services, healthcare, retail, and manufacturing markets as well as the federal government. The announcement was made at Predictive Analytics World, where Predixion is exhibiting in booth #309.

Charter members of the Predixion Partner Network include leading Microsoft implementation partners B.I. Voyage, Extended Results, Hitachi Consulting, Netwoven, Neudesic and Pace Performance Group.

“Predixion's cloud-based predictive analytics solution includes the ability to use Excel data to build and share predictive models, consume predictive models built in the major commercial data mining tools such as SAS and SPSS as well as open source R models,” said James Taylor, one of the leading experts in decision management and CEO of Decision Management Solutions. “The company has worked diligently to reduce the complexity and costs associated with predictive analytics today.”

Predixion Software develops and markets collaborative predictive analytics solutions in the public and private cloud that are fully integrated with Microsoft Corp.’s BI platform. Predixion enables self-service predictive analytics, allowing customers to use and analyze large amounts of data to make actionable decisions, all within the familiar environment of Excel and PowerPivot.

Predixion’s intuitive and easy-to-access cloud and on-premise solutions allow users to easily create and manage powerful and accurate predictive models that provide objective, fact-based information which increase performance and profitability. Predixion customers are achieving immediate results across a multitude of industries including: healthcare, retail, banking, marketing, telecommunications and insurance services.

“We are committed to working with our partners to accelerate the adoption of predictive analytics by breaking down the many barriers that have hampered its widespread adoption—namely lengthy implementation times, high cost of software and maintenance, as well as the highly technical skill set required to use the software,” said Simon Arkell, Predixion co-founder and CEO. “Our integration with the Microsoft BI stack, application of predictive modeling methodology to real-world business issues and the domain expertise of our partners enable us to deliver immediate and ongoing return on investment.”

About Predixion Software

Predixion Software develops and markets collaborative predictive analytics solutions in the public and private cloud. Predixion enables self-service predictive analytics, allowing customers to use and analyze large amounts of data to make actionable decisions, all within the familiar environment of Excel and PowerPivot. Predixion customers are achieving immediate results across a multitude of industries including: retail, finance, healthcare, marketing, telecommunications and insurance/risk management.

Predixion Software is headquartered in Orange County, California with development offices in Redmond, Washington. The company has venture capital backing from established investors including DFJ Frontier, Miramar Venture Partners and Palomar Ventures. For more information please contact us at (949) 373-4900 or visit us at www.predixionsoftware.com.

Contacts

Humphrey Strategic Communications
Scott R. Humphrey, 503-644-9709
humphrey@strategic-pr.com

Release Summary

Predixion Software Launches Partner Network

Contacts

Humphrey Strategic Communications
Scott R. Humphrey, 503-644-9709
humphrey@strategic-pr.com