Summary

This chapter has been about ensuring that all readers have a common understanding of the key underlying concepts in the book. Data quality initiatives are normally a subset of the work that happens in a data management team, and therefore, a thorough understanding of data management, and particularly data governance, is important.

The success of any data quality initiative relies on the interest and support of stakeholders at all levels. The chapter has outlined all these roles and how they can help the initiative.

Finally, the chapter outlined the end-to-end process that has helped me be successful with data quality work in my career to date.

The next chapter will describe arguably the most difficult phase of the end-to-end process – the business case for data quality. Most initiatives fail at this point. Indeed, some of my initiatives failed at this point, and the lessons I learned (the hard way) inform what will be discussed.