Understanding Data Quality: What is it and Why is it Important for Businesses?

  1. Sales and marketing departments lose as much as 550 hours and more than $32,000 per sales representative using bad data. (DiscoverOrg)
  2. Businesses lose more than 20% of their revenue on account of poor data quality. (KissMetrics)
  3. Employees lose as much as 50% of their working hours due to mundane, unfiltered data quality. (MIT Sloan)
  • · Reduction in cost of identification and fixation of bad data.
  • · Improvement in business decision-making process followed by an increase in sales.
  • · Improvement in internal processes, allowing businesses to have a competitive edge over rivals.
  • · Promotion of data-driven decision-making process instead of gut-based.
  • · Rightful engagement of different teams.

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