Data quality refers to the overall utility of a dataset(s) as a function of its ability to be easily processed and analyzed for other uses, usually by a database, data warehouse, or data analytics system. Data quality is important for daily business operation. It is also important for data analysts to find out the secrets from your database. If the data quality is not good, you will not only comprise your business efficiency, but also harm your ability to draw objective findings from your data analytic team. It will also cost you a lot of money to perform data cleaning in order to obtain meaning outcomes from data analytic projects. If you want to implement machine learning, poor quality database will make machine learning impossible or useless.

We can help you define your data quality standards based on your business requirements and validate data based on pre-built or customized business rules to ensure the quality of the data that flow into your database management system is good.