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Data Quality Scorecard

Can you trust the data? We believe every report and every dashboard should include the proper context for interpreting and understanding the data presented. Data Quality Scorecards provide the context so that reporting systems and dashboards can be interpreted properly and trusted.

Data Quality Scorecards answer these key questions:

  • How current is this data?
  • How complete is this data?
  • How accurate is this data?

The DQS (Data Quality Scorecard) is a standard part the MIDIOR playbook. Data Quality Scorecards are used on various projects to guide and reinforce important dimensions of data quality (completeness, consistency, recency, conformity, accuracy, integrity, valid values, duplication, and trends).