Time-consuming processes eliminated by scheduling automatic updates of analytical data sets and models
San Francisco, London, Paris, November 2nd, 2010
KXEN, the data mining automation company, today announced the next chapter in predictive analytics with KXEN's Analytical Data Management (ADM) and Modeling Factory (KMF). This introduces predictive analytics' first-ever "semantic layer" combined with powerful scheduling capabilities to provide orders of magnitude increases in agility and productivity to deal with today's business challenges.
For over 10 years, KXEN has brought next-generation predictive analytics to more than 400 of the world's leading companies including Bank of America, Barclays, Cox Communications, Lowe's, Meredith Corporation, Overstock.com, Rogers, Vodafone, and Wells Fargo. Powered by KXEN's patented data mining automation capabilities, customers have cut the time it takes to build complex models from months to days.
KXEN Analytical Data Management (ADM) - predictive modeling's first semantic layer
Similar to the breakthrough of a semantic layer made by business intelligence solutions to solve skyrocketing demand in reporting, KXEN is introducing predictive modeling's first-ever semantic layer, a reusable and easily modifiable analytical record comprised of business relationships or "data domains" and fields. With the introduction of Analytical Data Management, KXEN will enable companies to:
- Create a Reusable Analytical Record ("Semantic Layer"): Allowing power users to assemble valuable customer data once to provide the framework to build unlimited analytical data sets and models.
- Build Self-Service Models: Putting the power of complex modeling at the hands of the business. Business users will be able to build models on demand replacing the slow, manual process required by traditional data mining technologies.
- Reduce Human Error: The combination of the Analytical Record and KXEN's modeling automation dramatically reduces the chance of human error and automatically creates an institutional memory for complex processes that are rarely documented and not easily maintained.
With clicks and not code, business users can schedule model refreshes to make sure that customer interactions and decisions are based on the latest information.