Understanding Data Reliability: How to Evaluate and Measure the Quality of Your Data

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A majority of organizations (80%) struggle with data quality as a main challenge in their go-to-market strategy. They also struggle with how to test and measure the specific elements that impact data quality.

Understanding and evaluating the quality of data means asking questions like:

  • How confident are you that the information filled into any given field is actually correct?

  • How sure are you that account records from various sources have been matched together properly?

  • How certain are you that you’re seeing the complete picture of any given market, segment, or account list?

  • How recent was all this information updated and with what collection methods?

In this document, you’ll find:

  • The best way to evaluate and measure the quality of data

  • Steps you can take to increase data completeness and accuracy

  • Use cases for how better data quality leads to improved business outcomes