Agility: The Key to Complete Data Governance
Discover a new agile approach to data governance to support community-driven processes and enhance data literacy for all users. The decades-old waterfall approach to data governance no longer meets the requirements of our dynamic, fast-changing world.
It’s time to face it: The rigid top-down model of data governance no longer meets the needs of our era, a time when things are continuously shifting and being reinvented. Big data is now the norm, but it’s the approach to data management that will make or break a data governance program. It’s now necessary to inject more agility into our governance processes for enhanced collaboration.
Why focus on agility?
Data governance is not an exact science and perhaps will never be. Organizational processes are continuously evolving to meet changing requirements, changing needs, and the changing times. Each organization is unique and needs to find out what works for them in their particular sector of activity. There is no one-size fits all solution.
The traditional model of data governance creates a single solution that is meant to be applied everywhere and to everyone. It does not take into consideration the collaborative aspect of processes. In this model, a group of business leaders decides on the specifications of the project. For example, it’s important to decide which data needs to be catalogued and by whom, and operational teams are expected to simply execute orders.
However, this approach has many limitations. First , the specifications are rarely reviewed once the project has been launched. Second, more often than not, they do not correspond to field reality. The result is that operational teams do not understand the approach or its value and nothing gets done. At best a catalog is created, but it is never used and quickly becomes obsolete.
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