Versium launches suite of predictive scores

REDMOND, USA: Versium, a data technology company that operates a LifeData predictive analytics scoring engine, announced today the availability of its suite of Predictive Scores, enabling organizations to better engage with their customers and make smarter marketing decisions.

Versium's Predictive Scores are the outcome of powerful matching algorithms that enable predictive models to utilize a company's enterprise data in combination with Versium's unique LifeData. Deriving meaningful intelligence from complex assortments of data can be very challenging. Predictive Scores address this challenge. A predictive score is very similar to a credit score, but tailored to address specific business needs and objectives.

"Our customers love the concept of predictive scores - they are accurate, easy to access and you don't have to be a data scientist to interpret them. Enterprises don't want another complex platform that requires support and training - they just want the answers to the questions that deliver ROI benefit and that's exactly what a predictive score does. When it comes down to it, the numbers don't lie," said Chris Matty, Versium CEO.

"Being armed with this level of actionable intelligence provides companies with specific data to better maximize profits, mitigate risks and optimize consumer targeting, a significant competitive advantage."

The proprietary LifeData platform is a compilation of information created by individuals as they interact in the real world, which companies typically have been unable to capture until now. Versium's analytics platform combines a company's proprietary enterprise data with LifeData to provide richer insights into behavior, and enable more accurate statistical and predictive models.

The system outputs various predictive scores (similar to a credit score, but for marketing purposes) based on a desired business case and underlying ROI objective. LifeData insights and predictive scores can be accesses via real-time API query, or batch process, so that these insights can be built into existing enterprise applications (i.e. CRM solutions and marketing automation tools) to enable rapid access and use without the need for platform deployment and support.