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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