Most of us cringe over data quality issues without making any effort to sustain data quality. Data quality is not about chance, it requires continuous effort to check, update, and maintain relevant data.
Here's the list of data quality activities to improve the value of data in your business.
- Data Profiling
- Data Cleansing
- Data Standardization
- Data Deduplication
- Data Validation
It's not mandatory to follow all these points, but it's a handy list to get learn the most suitable process for total data quality management.
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