Data Quality Management Method

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This document explains how to set up a successful Data Quality Management (DQM) process, outlining best practices in this field and how Experian Pandora supports them. It will allow you to justify and prioritise your data quality work.

Approximately half of businesses lose money due to data quality issues; unfortunately, most find that the exact amount lost is difficult to determine, and regard their data quality teams as cost-centres inflicted on them by over-zealous legislators and statistic-obsessed managers rather than potential profit-centres.

Experian Pandora provides a proven solution which associates business-defined relevance to its findings, producing financial, quantitative and directional Data Quality KPIs (Key Performance Indicators) backed up by all the detail necessary for correction.