Data Quality Video Intro

Data Quality Video Intro
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  • Why is Data Quality Important?
  • TIMELINESS
  • VALIDITY
  • COMPLETENESS
  • CONSISTENCY
  • UNIQUENESS
  • ACCURACY
  • Data quality issues arise in organizations and workplaces everyday and often go unnoticed. Issues affecting data quality can include outdated information, missing information, inaccurate data, mistakes and errors in the recording of data, and inconsistent data. 
  • GOOD QUALITY DATA
  • decision making productivity reputation
  • Data is used in every job everyday whether you work in transportation, corporate services, legal services, community health services, and more! Data quality is also very important.
  • POOR QUALITY DATA
  • missed opportunities lost revenue & cost reputational damage
  • Data Quality is typically evaluated by its timeliness, completeness, uniqueness, validity, consistency, and accuracy.
  • Data quality is important as good data has beneficial impacts including logical decision making, increased productivity as less time is spent checking data, and the maintaining one's reputation as a credible organization or business. 
  • On the contrary, poor data quality can have negative impacts including missed opportunities that one would of had with good data, lost revenue and cost of using poor data and achieving inadequate results, and reputational damage. 
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