About this advisory board


Data quality describes the characteristics associated with data, how it is measured, and the processes used to improve the quality of data. Well understood data quality means that it can be used and analysed with increased confidence, increasing trust in reporting, and leading to better outcomes for the organisation.

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Topics of interest include:

  • Quality foundations including strategy, documentation and processes.
  • How to organise data quality including ownership and accountability.
  • Resources, capabilities and data quality skills.
  • Quality measurement and reporting.
  • Data quality dimensions and specific common
  • The data lifecycle.

Bhavik Davda

Chief Customer Insight & Analytics Officer​

Superdrug / AS Watson

David Hayes Main 1

David Hayes

Chief data officer 

The Open University

Lyndsay Weir Main

Lyndsay Weir​

Chief Analytics and Insight


As a member you are encouraged to suggest topics or questions for our advisory boards to consider. Please feel free to use the form below, and we will address your request to the board at the next opportunity: