Data Quality and Integrity Part 1 – Initial Steps Towards Data Quality

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Did you know 97% of U.S. Companies feel driven to turn data into insight? That means most of those companies look to data to understand their customer needs, find new clients, and increase value. However, 92% of companies think they have a data quality issue. Knowing that you have a (data) problem is the first step to finding a solution.

Here are some key takeaways from Gartner Magic Quadrant Challenger, Experian’s, whitepaper on data quality in 2015:

  1. Reduce human error. Identify where information is exposed to this error and find technology that is lowers this risk.
  2. Appoint a central data owner and invest in staff. Someone to handle all aspects of data and is an expert.
  3. Conduct audits. Be proactive and look for common errors, maybe even invest in detection software.
  4. Make it an organizational concern. Use tools consistently across departments and ensure data is complete as collected.
  5. Track metrics that are beneficial. Make a case for data quality by tracking key metrics impacted by data and how those affect business outcomes.
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