Reveal Analytics has developed a suite of engines built of the core REVEAL™ Collaborative Analytics System to provide specific pre-packages analytics capabilities to customers.

Decision Engines allow the development of predictive models that perform automated scorings for various business applications in marketing, Risk and Operations. The engines are developed using Predictive Model Markup language (PMML) and they can be pre- loaded with proven algorithms and business rules that can be used by organizations to quickly implement solutions in their areas. Organizations can leverage their investment in existing models by importing them directly into Reveal Analytics engines and save time and efforts in recoding. In addition, decision engines also allow organizations to develop their own process flow and specify how algorithms are applied and where to communicate the results of the decisions along the process flow or among various functions like Marketing, Risk and Operations.


An advanced analytical and modeling engine that closes the gap between Marketing, Risk Management and Operations by assisting marketing managers to optimize their customer acquisitions while allowing Risk managers to minimize delinquency and bad debt on a predictive basis. ValueManager™ allows Operations to optimize the deployment of its resources in customer service center to better support Risk in its collection efforts and to help Marketing in customer acquisition as well as in cross-sell. Six Sigma Methodology can be embedded in the engine. Application areas for this engine include:
 

	Customer acquisitions
	Cross-sell
	Retention/Attrition
	Predictive delinquency
	Fraud detection
	Recovery from invoice auditing
	CRM applications

An analytics-driven engine that mines data and triggers appropriate decisions alerts and sends notifications in real time. Application areas include:
 

	Customer Service Centers: Agent productivity
	Marketing : Cross-sell
	Risk : Fraud detection
	Insurance : Claim Processing
	National Security : Home Land Security

This engine allows marketing managers to select the optimum number of customers (given any number of constraints) for targeting while meeting the scorecard requirements from Risk for an effective delinquency and bad debt management.


A set of tools for reporting and analysis that allow end users to drill-down, perform ad-hoc analysis, obtain multi-dimensional views of their customers, segment and cluster their customer data base and generate reports that can be delivered via the Internet.