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Experian Data Quality Positioned in Gartner's 2015 Magic Quadrant for Data Quality Tools Report

 

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Data Quality Solutions For Enterprises

  • Data Cleansing: Clean incorrect data in real time or in bulk capacity. 
  • Data Standardisation: Prototype your data quality rules and transform your data without impacting business as usual.
  • Data Matching: Create an accurate single customer view that allows you to make every interaction count.
  • Data Monitoring: Deploy controls to ensure that data continues to conform to business rules. Analyse, improve and control data quality across domains.
  • Data Enrichment: Enhance your data to drive greater value. Append related attributes from external sources to improve analysis, profiling and segmentation.
  • Data Profiling: Instantly profile all of your data to discover relationships and drive dependencies. Capture statistics that provide insights on data quality issues.

"Data quality initiatives address a wide variety of data domains. However, party data (customers, prospective customers, citizens or patients data) remains the top priority for most organizations, according to the refference customers surveyed for this Magic Quadrant: 89% consider it a priority, up from 86% in the previous year's survey." 

Gartner Report, 2015

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