6 Federated computational governance

 

This chapter covers

  • Understanding our definition of data governance
  • Learning the key benefits of data governance
  • Defining the expected deliverables of data governance
  • Structuring data-related policies
  • Federating data governance
  • Making data governance computational

In chapter 4, we kick-started our data mesh and included a lot of governance work right from the start. This chapter dives deeper into how to perform this crucial step.

Note

While we understand that you may want to get straight to the implementation of data governance, this would be counterproductive. This topic can be approached in too many ways. Governance centralization and automation may be implemented at many levels, creating a vast matrix, impossible to describe in a single chapter. Instead, we show you options and give you pointers on starting the governance design and implementation processes. Still, you need to envision how to utilize governance best to derive value in your organization.

First, we will discuss what data governance is and paint a broad picture of what it means to federate it and make it computational.

Second, we will explain why implementing data governance is a good idea. At the beginning of this book, we indicated that you could implement the principles we describe with varying levels of detail. The second section explains why this nontechnical activity may add value to your business.

6.1 Data governance in a nutshell

 
 

6.2 Benefits of data governance

 
 

6.2.1 Business value perspective

 
 
 

6.2.2 Data usability perspective

 

6.2.3 Data control perspective

 
 
 

6.3 Planning data governance outcomes

 
 

6.3.1 Hierarchy of data governance outcomes

 
 

6.3.2 Strategic-level outcomes

 
 
 

6.3.3 Tactical-level outcomes

 
 
 
sitemap

Unable to load book!

The book could not be loaded.

(try again in a couple of minutes)

manning.com homepage
test yourself with a liveTest