Integrating and merging data across multiple silos is a costly but necessary business for most large organizations. There are many common reasons for such an exercise to occur: reorganization, mergers, compliancy requirements, re-use of information, cutting operating costs, or simply a need for a richer picture of customers and situations.

This whitepaper analyzes a case study; a major telecom had the challenge of implementing Enterprise Search for customer record cleansing to save costs and increase performance. Through parsing the data and matching ambiguous customer data to actual contact information, the telecom was able to drastically cut data-input and downstream costs, while improving correct address matching.