Is data quality really that big of a deal? The answer is yes, 53% of companies in the recent TDWI (The Data Warehousing Institute) study reported they have
The answer is yes, 53% of companies in the recent TDWI (The Data Warehousing Institute) study reported they have suffered losses, problems, or costs due to poor data quality. In a data warehouse, data quality issues can come from many different sources like historical data, data migrations, legacy systems, or data entry errors.
Irrespective of the source of the bad data, it can cause various other issues related to costs, performance, and metrics. For marketing data warehouses, down stream costs such as postal mailings to non-existent and wrong addresses can add up quickly.
At Quaero, data quality is a promise to our customers. No matter what kind of data we receive from the list sources, we strive to cleanse that data to a very high standard. We achieve cleansed data by utilizing the following processes:
Standardization, Data Parsing, Address Validation & Information, and Matching & Building Best Record.
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