The high price of low-quality data
If you have problems with data quality, you know what a headache it causes. Your data analysis cannot be trusted, customers get addressed incorrectly and decision making is a bad combination of gut feel and choosing data that suits the argument.
As data volumes increase, so does the importance of maintaining quality in data. Poor data quality is a hidden problem, and the cost is not always obvious. Until there’s a problem, that is!
We use a combination of SQL Server SSIS packages and custom algorithms to improve data quality, correcting address and name data, ensuring codes are correct, and more.
Working with good quality data gives you confidence to make decisions, knowing the analysis comes from data you can trust.