Summary

Recognizing that poor data quality or a lack of data management can lead to a number of issues. In addition, if you do not have a data vision or data strategy that supports your organizational objectives, your organization is likely to focus on the wrong (non-relevant) objectives. Having a data strategy and a clear vision of where you want to go with your data and analytics plans can help an organization advance in its data and analytics maturity.

We now have a better understanding of data, data management, and data quality after reading this chapter. We have provided you with a five-step framework that includes data strategy, data people, data processes, data control, and data IT steps.

The data quality process is divided into five steps: discovering what data you need, profiling, rules (cleansing, correcting, and so on), monitoring the filling data elements in your source systems, and, finally, the amazing part where we see that you can actually measure your data quality...