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Pre-built services and workflows enable you to more quickly gain control of your customer data – and deliver immediate ROI

Customer data is one of the most valuable assets that your organization possesses. However, misplaced, misspelled or otherwise incorrect entries can degrade the value of this data. The DataFlux Accelerator for Customer Data Improvement gives you a powerful set of tools to correct these problems and unlock the real value of your customer information.

The DataFlux Accelerator for Customer Data Improvement draws from DataFlux’s extensive experience in helping companies improve the quality of their customer information. The Accelerator for Customer Data Improvement allows you to:

  • Standardize addresses
  • Intelligently correct and categorize customer information
  • Eliminate duplicate customer information
  • Merge multiple customer records from the same address into a single master record or household

The DataFlux Accelerator for Customer Data Improvement offers a fully scalable tool set for data quality initiatives, allowing you to cleanse individual databases or to improve customer data throughout the enterprise, all from the same intuitive graphical user interface.

Features

The DataFlux Accelerator for Customer Data Improvement gives you easy management of advanced data quality and data integration routines. Incorporating award-winning DataFlux technology with the knowledge gained from thousands of data quality implementations, the DataFlux Accelerator for Customer Data Improvement provides a definitive advantage in managing customer data, allowing business users to:

  • Utilize hundreds of business rules and technical services that correct common customer data quality errors
  • Cleanse, rationalize and control customer data within hours of implementation
  • Customize pre-packaged rules to meet the unique needs of your organization

Functionality

  • Built-in data management routines address most common data quality issues
  • Includes address standardization to US Postal Service requirements
  • Advanced fuzzy matching logic enables sophisticated customer de-duplication
  • Householding merges multiple customer records for a single address
  • Intelligently parse and correct customer data fields