Data quality issues can be very hard to handle for many organizations. In this episode of Drums and Data, Andy plays Hard to Handle by the Black Crowes. This is the first video in a series of three about data quality issues. In this episode, learn about the five most common categories of data quality issues as well as three methods to help identify and classify them. We also wrote a blog post about this as well.
5 Categories of Data Quality Issues
- Incomplete data
- Inaccurate data
- Inconsistent data
- Data duplication
- Stale data
3 Methods to Help Identify and Classify Data Quality Issues
- Data Profiling
- Data Audit
- Getting Feedback from Users
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