How to Measure Data Quality Downstream

Tine Thoresen
08 Jul 2010

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In the last year, there has been a lot of focus on data management maturity, with industry association the EDM Council and the Software Engineering Institute (SEI) of Carnegie Mellon University partnering to create a detailed and auditable methodology for modeling financial data management maturity. The proposed model splits data management into key areas, with one being data quality.

Firms are then meant to identify what level they are at. If they are in the initial phase, where they are

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