Standards for Data Quality

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Standards for Data Quality

  1. 1. Improving Information to Support Decision Making: <br />Standards for <br />Better Quality Data<br />The key to better information to support decision making and accountability lies with the actions taken to foster a culture that values the quality of the data that underpins this information. <br />Such a culture must be adopted at the very top of, and pervade, the whole organisation. Use the principles defined in these standards, to:<br />• define the priorities for data quality;<br />• assess arrangements for securing good quality data; and<br />• develop working practices which deliver these objectives<br />[Nov 2007]<br />
  2. 2. Better Quality Data – Characteristics<br />Validity<br />Accuracy<br />Accurate enough for intended purposes:<br /><ul><li>Balance with use, cost, effort, timeliness
  3. 3. Capture close to point of activity
  4. 4. Make accuracy compromises clear</li></ul>Compliance with requirements:<br /><ul><li>Application of definitions
  5. 5. Consistency over time
  6. 6. Consistency with others</li></ul>Reliability<br />Timeliness<br />Collection processes consistent:<br /><ul><li>…over time
  7. 7. … for multiple collection points
  8. 8. … between collection systems</li></ul>To Influence Decisions:<br /><ul><li>Capture quickly after the event
  9. 9. Available quickly enough
  10. 10. Available frequently enough</li></ul>Relevance<br />Completeness<br />Data relevant to intended purpose:<br /><ul><li>Periodic review of requirements
  11. 11. Quality assurance and feedback process
  12. 12. Use carefully for other purposes</li></ul>Monitor quality to match data needs: <br /><ul><li>Missing data
  13. 13. Invalid data
  14. 14. Incomplete data </li></li></ul><li>Better Quality Data – Standards for Data Quality<br /><ul><li>Strategic approach to data quality
  15. 15. Integrate with business objectives
  16. 16. Individual accountability </li></ul>Governance and Leadership<br />1<br /><ul><li>Defined recording processes
  17. 17. Communicate and embed messages
  18. 18. Review scope and impact</li></ul>Systems and Processes<br />2<br /><ul><li>Data integrated into business activity
  19. 19. Right first time collection
  20. 20. Review effectiveness of activities</li></ul>Policies and Procedures<br />3<br /><ul><li>Knowledge, competence & capacity
  21. 21. Manage and communicate changes
  22. 22. Reinforce importance of data quality</li></ul>4<br />People and Skills<br /><ul><li>Data integrated with decision making
  23. 23. Internal control and validation
  24. 24. Documentation for external data</li></ul>Date Use and reporting<br />5<br />
  25. 25. Standards for Data Quality<br /><ul><li>Strategic approach to data quality
  26. 26. Integrate with business objectives
  27. 27. Individual accountability </li></ul>Governance and Leadership<br />1<br />
  28. 28. Standards for Data Quality<br /><ul><li>Data integrated into business activity
  29. 29. Right first time collection
  30. 30. Review effectiveness of activities</li></ul>Policies and Procedures<br />2<br />
  31. 31. Standards for Data Quality<br /><ul><li>Defined recording processes
  32. 32. Communicate and embed messages
  33. 33. Review scope and impact</li></ul>Systems and Processes<br />3<br />
  34. 34. Standards for Data Quality<br /><ul><li>Knowledge, competence & capacity
  35. 35. Manage and communicate changes
  36. 36. Reinforce importance of data quality</li></ul>People and Skills<br />4<br />
  37. 37. Standards for Data Quality<br /><ul><li>Data integrated with decision making
  38. 38. Internal control and validation
  39. 39. Documentation for external data</li></ul>Data Use and Reporting<br />5<br />

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