Traditionally, data governance has been defined as managing data integrity and the access of enterprise systems. Usually it consists of a centralized team with a steering committee, data stewards, process workflows and policies. In a traditional environment when you have a centralized data team, this can work well, but in today’s world where each department has their own analysts creating different analyses, such a project will likely fail.
With the rise of decentralized data ownership, data democratization, and new embedded data roles, data is getting more attention—and more out of hand. The world is coming to understand that data can improve any part of business, but while technology has advanced to support this, processes have lagged behind. Data is now easy to make, but hard to find and control.
In this session, I will discuss why traditional, top-down governance model must evolve to embrace the reality of distributed data ownership. Moreover, I will share our learnings and recommendations from various data teams implementing data governance in their organizations.
Founder & CEO, Select Star