Advanced Analytics

In the global, connected environment that exists today, acquiring, retaining and maximizing revenue from your customer is increasingly challenging. Infogix Customer Analytics offers a combination of analytical engines or mechanisms to optimize the customer lifecycle. The Analytics framework employs a layered, multi-pronged approach to recognize either risk to revenue or potential gain of revenue from the point of acquisition of a new customer throughout different points in the customer’s lifecycle. This layered approach allows a suite of sophisticated analytical engines including predictive analytics, usage & behavioral analytics, identity analytics and operational analytics to be combined as required to precisely address the business problem at hand.

Whitepaper

Advanced Analytics

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Whitepaper

Customer Lifecycle Management

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Datasheet

Link Analysis Visualizes Hidden Relationships

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Reading Customer Behavior

In-house datasets such as historical customer data as well as a rich collection of third-party datasets such as economic, demographic and social security numbers, among others, are incorporated into the advanced analytics engine to produce accurate, actionable outcomes and to deliver important insights about customer behavior.

Operationalized Analytics

Infogix’s advanced analytics solutions solve your most important business problems via an automated, easily operationalized platform and produce results that can be immediately acted upon. With these insights, you protect and maximize your revenue and manage the complete lifetime value of the customer efficiently and economically.

  • Customer Lifecycle Analytics: Analyze every stage of the customer acquisition and retention process incorporating diverse data sets such as credit and payment history, location and interests, usage patterns and service experience. Harness the data to optimize acquisition, build retention programs, minimize churn and avoid bad debt.
  • Operational Analytics: Analyze every aspect of the operational infrastructure that delivers services to customers to look for opportunities to reduce cost and discover & recover leakage of revenue at different points in the infrastructure.
  • Big Data Scalability: Quickly deploy and easily operationalize the Advanced Analytics on top of a proven, scalable platform built on an modular architecture designed to deliver the lowest cost of ownership. This means that you deploy and spend what you are prepared to accommodate now, allowing you to start small, without large upfront investments, and linearly scale up as you grow, to accommodate billions of events or transactions on a daily basis.
  • Reporting and Dashboarding: Access data, both granularly and aggregated, in real time. Information is summarized on configurable drill-down dashboards, with numbers crunched automatically. Flexible reports let you see and communicate relevant trends and details as they arise.