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How to overcome the top four data quality practice challenges

2017 Gartner Research

Poor data quality impacts businesses in substantial ways, from revenue generation and customer service, to risk and compliance. Yet many organizations don’t understand the full impact of bad data. New Gartner research calls Data and analytics leaders to improve their management processes through better measurement, increased staffing, cost controls and accurately estimating deployment times. 

Download and read Gartner’s latest data quality research note “How to Overcome the Top Four Data Quality Practice Challenges” to get Gartner’s latest recommendations on:

  • Measuring the cost of poor-quality data and the value of improved data quality
  • Identifying and establishing essential data quality roles
  • Optimizing the cost of data quality tools
  • Estimating realistic tool deployment schedules

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