Bookmark and Share
  Home         |          About us          |          Services          |         Solutions          |         Careers          |          Contact us

Decision Support Systems

DSS isolates the logic behind business decisions from the mechanical operations of application procedural code. Treating decision logic as a manageable enterprise resource in this way makes it reusable by multiple applications in many different operational environments. It makes advanced decision making available as a service to legacy applications, eliminating the time, cost and technical risk of trying to simultaneously reprogram the individual systems to keep up with changing business requirements. It enables developers to swiftly and inexpensively deliver new decisioning applications by flexibly combining business rules, data-driven strategies, thresholds, calculations and other elements.

A DSS also makes it possible, for the first time, to use predictive analytics as an integral part of a real-time decision process. As a result, businesses can reap the benefits of analytics - clear forecasts of customer behavior, deep insights into customer needs, the ability to compare many related factors and criteria in a single measurement - to apply operational strategies that give them the greatest return.

Decision Support Systems are applicable across the industries like-

Banking, Financial Service, HealthCare, Insurance, Retail, Telecom, Manufacturing and Government.

Typical Application Areas include -

Credit Decisions – Scoring & Risk Assessment, Policy Compliance & Underwriting; Behavioral Scoring; Compliance, Fraud Detection & Anti Money Laundering; Collection Strategy; Commission; Incentives & Payouts; Claims Management; rating and billing, product configuration, product recommendation, loyalty management, cross-sell and up-sell recommendation

DSS Benefits:

  • Precise in that the risk and reward of the decision is known and managed.

  • Consistent so that the decision does not vary by time, channel, customer unless the organization means it to.

  • Agile so that it can be evolved rapidly in the face of new regulations, new policies, new risk or reward calculations.

  • Cost-effective so that no more money is spent on it than absolutely necessary.

  • Fast enough so that it is taken in "right time" or as near real time as adds value for both the organization and its customers.

  • Business experts can easily and quickly build and change complex business logic.

  • Provides a strict separation from the technical parts of an application.

 Request a Call Back

 ©Copyright 2009 Act21Softwares Pvt. Ltd.