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Create an automatic data rationalization framework to validate and consolidate similar information.

DataFlux solutions can consolidate customer records into identifiable customer groups, using sophisticated fuzzy matching technology and innovative householding methodologies. Householding allows organizations to link customer records by last name and address, company name and address, phone number or any other project-specific fields.

Householding helps you reduce the cost of duplicate mailings and allows you to track customer purchases at the individual and household level. With householding, you can better discover the aggregate value of a customer by including all transactions or product details for other customers who live at the same address. 

In addition, the clustering technology provided by householding can be used to organize and manage business information. These capabilities allow you to create and enforce hierarchies for businesses, helping establish a cumulative value of an organization to your company.

Pre-set data rationalization rules allow a company to identify various text strings as different companies or items.

In the example above, pre-set rules allow this company to identify various text strings as different companies or items.

By rationalizing data through DataFlux technology, you can complete product or item rationalization projects in minutes or seconds. The resulting efficiencies can lead to impressive results for your staff. One DataFlux customer reduced standardization and reconciliation efforts for one product file by 80 hours per month, merely through capturing the domain expert's knowledge as business rules within the DataFlux technology environment.