Data Quality

Question 1

Data Quality

Answer 1

The characteristics associated with high quality data and to the processes used
to measure or improve the quality of data

Question 2

Dimensions of data quality

Answer 2

Accuracy
Completeness
Consistency
Uniqueness
Timeliness
Validity

Question 3

Accuracy

Answer 3

Does the data reflect reality correctly? Example: A customer address correctly entered as “123 Main St” instead of “132 Main St”.

Question 4

Completeness

Answer 4

Are all required data fields filled in? Example: A sales form that includes name, phone number, and purchase amount.

Question 5

Consistency

Answer 5

Is the data uniform across systems/time? Example: Sales revenue showing the same amount in CRM and financial systems.

Question 6

Uniqueness

Answer 6

Are there duplicate entries” Example: Removing multiple entries for the same customer in a contact database.

Question 7

Timeliness

Answer 7

Is the data available when needed? Example: Inventory updated in real-time before placing an order.

Question 8

Validity

Answer 8

Does data conform to rules/formats? Example: Email field correctly containing “@” and a domain.