The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics
Table of Contents
1) What Is Data Quality Management?
4) Data Quality Best Practices
5) How Do You Measure Data Quality?
6) Data Quality Metrics Examples
7) Data Quality Control: Use Case
8) The Consequences Of Bad Data Quality
9) 3 Sources Of Low-Quality Data
With a shocking 2.5 quintillion bytes of data being produced daily and the wide range of online data analysis tools in the market, the use of data and analytics has never been more accessible.
However, with all good things comes many challenges, and businesses often struggle with correctly managing their information. Oftentimes, the data being collected and used is incomplete or damaged, leading to many other issues that can considerably harm the company. Enters data quality management.
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