Decision analytics

Technology Behind Interactive Customer Value Management ( iCVM)

iCVM makes some pretty big promises, but what are the tools and technologies that make it possible?

At the heart of iCVM is Decision Analytics-a set of quantitative tools that can detect patterns in customer-based data and drive businesses towards more effective decisions. These tools include statistical modeling, behavioral modeling, mathematical optimization, and economic analysis. They support several strategic business processes, including forecasting and predicting, customer segmentation, risk management, resource allocation, and market strategy "test and control."

By integrating these analysis tools with information systems, customers can ensure that meaningful customer information reaches employees throughout the organization-and that customers receive the same high quality of service regardless of their point of contact. Information systems components that interact directly with Decision Analytics tools are data warehouses, OLAP reporting systems, decision engines, and workflow systems.

The resulting solutions improve an organization's interactions with customers, enabling them to operate more efficiently and providing better value for both the customer and the enterprise.

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