Data validation services use a combination of physical visits, data analysis and data comparison. Our methodology will measure the quality of your data set according to your data quality requirements.
Depending on your requirements, we can devise the strategy from scratch or follow an existing methodology you use.
In a typical data quality assessment, we would review:
Accuracy and data consistency
Is all the information in each data set accurate and correctly formatted to ensure delivery?
Completeness
Is all the information required for each data set available?
Coverage
Does the data include the entire data field as required (for example, an area, a postcode or a demographic)?
Timeliness
Are movers/disconnects/hard bounces removed from the data set promptly?