The key take-aways for data quality

If you are designing a strategy for data quality, remember:

  • Try to map your data landscape
  • Choose and use your dimensions of data quality
  • Analyse the different phases of your data production process cycle
  • Anticipate what can wrong and plan for it

This needs adequate consideration in the Programme/Project design and built into regular reviews of your data system.

Having a data quality mind-set will help. Make sure that all those involved in the collection, processing, analysis, and dissemination of data think about data quality in the right way and have a shared understanding of priorities and strategy. Your team will benefit from a culture of constructive critical assessment of data quality.

The author of this Snapshot guide, Matthew Shearing, is the Hub’s Co-Founder and Head of Data Quality.
We would be happy to hear from you if you think we could be of use in in supporting your organisation’s approach to data quality.
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