There are two aspects to data quality improvement. Data cleansing is the one-off process of tackling the errors within the database, ensuring retrospective anomalies are automatically located and removed. Data maintenance describes ongoing correction and verification – the process of continual improvement and regular checks. But, which process is the most important?
Great article from Datafloq. I completely agree - if you don't clean and maintain your data then you will et garbage results fro it.
No comments:
Post a Comment
Note: only a member of this blog may post a comment.