Summary
Data governance refers to any task you must do to make your data compliant, secure, accurate, available, and useful. Even though organizations often ignore it, it sets mature data teams apart. It enables you to work towards your strategic goals and reduce the hours wasted maintaining and fixing existing data assets.
In this chapter, we discuss some key topics in governance, such as ownership, data quality, managing data assets, training, and data modeling. A recurrent theme is that building governance roadmaps from scratch is generally not your responsibility. However, analytics engineers are in a privileged position to understand issues with the data and have enough technical knowledge to correct them at the source.
Working on data governance is never going to be easy. You will face resistance to change and need to get buy-in from your stakeholders to ensure the success of your initiatives. However, any goal you achieve will translate into a much better experience for...
