|
Decision Management (DM) can be defined in generic fashion as the application of math and logic to data to produce smarter decisions. It is sometimes called Enterprise Decision Management, though I've never seen an enterprise make a decision—it is instead a host of department heads that incrementally implement Decision Management, improving their processes and addressing business problems one at a time.
The value proposition for decision management sounds compelling and practical, even simple.
» Full Article
Analytics is an indispensable technology for organizations that control substantial repositories of customer data. It is a young science which has only begun to reshape the way data-driven businesses work.
Rob Jasper, Chief Technology Officer for Intelligent Results,
shares his thoughts on the future of analytics.
» Full Article
PREDIGY 5.0 is the newest version of our customer data analytics and decision optimization software platform. With the expanded capabilities in PREDIGY, business users are able to better understand the costs, benefits and profitability associated with every decision, prior to implementing it. They can set triggers and alerts to help them react quickly to changes in customer, market and business conditions.
Intelligent Results' analytic applications were initially adopted by financial institutions for collections and recovery, and have since evolved to support the entire customer lifecycle. PREDIGY is currently serving the needs of financial services, utilities, telecom, and specialty retail customers. The force behind increased acceptance is the growing recognition of the need to apply sophisticated data-driven decisions to all aspects of business—from acquisition, through risk management and fraud, to execution of more cost-effective marketing, cross-sell, loyalty, and retention programs.
Enhanced features in the PREDIGY 5.0
software platform include:
- Automated market segmentation and targeted offer management
- Improved trend and segment analysis to better understand patterns in customer data
- Unified analytics work flow, including predictive modeling, segmentation, clustering and strategy design all in one unified environment
- More sophisticated and precise data mining
- Multi-tenant
and hosting capability for partners to deliver analytics in
a "software as a service" model
|
