Data Quality - How and When

Information is one of the key asset of any organisation. Sending newsletters to Mr. John as Ms. John is a sure way to lose business or create a negative image about one's company.

While everyone talks about Data Quality, How do we measure it?

The following six aspects are how we measure the quality of a data.

1. Completeness – What is missing?
2. Conformity – What is not in a standardized format?
3. Consistency – What are the conflicts in the data?
4. Accuracy – What is incorrect?
5. Duplicates – What is repeated?
6. Integrity – What fails to have proper reference data?

When to start worrying about Data Quality?

Ideally, As soon as possible. Any data -driven initiative which would include ERP, CRM and EDW solutions would have to start with a Data Quality component. And then, it is better to be late then never.