Data profiling and data mining may seem similar, but they serve different data management purposes. The two processes must work together to ensure quality data.
In theory, using data should be simple. All data would be easily accessible in an organized database with clearly labeled and consistent types, ready to use for analysis.
In practice, it’s not that simple. An organization can store data across different departments in a variety of formats — often incompatible — and sometimes with no structure or organization at all. Understanding how to use data mining and profiling techniques together can help an organization extract valuable insights from its data.
