STEP ONE
Define drivers for data governance.
Often unwelcome at first as it involves a lot of change, Data Management is a pivot for the business strategy.
Doing it properly today will help you reap the benefits in the next decade.
We consider Data Management a catch-all term for Data Governance, Master Data Management, Data Quality, Data Strategy, Data Architecture and more.
All organisations that dream of data-drivenness should have Data Governance as the main driver, with the rest built around it.
There is no straightforward path from start to finish, but keeping some principles in mind will vastly improve your chances for success.
You may view Data Governance as the engine driving the Data Transformation journey. Making it work is a challenge, but definitely possible if you keep your eyes on the prize.
In the following 5 steps, based on the Data Excellence Model, we help you identify key challenges and start co-creating early success.
Define drivers for data governance.
Define your data strategy.
Define and prepare the organisation.
Prioritize data domains and intiate your pilot
Discover and inventorise your data
Document findings and act accordingly
Implement a cross-domain operating model
Rollout new data domains and execute complex use cases
Generating business value from data is one thing. Doing that while simultaneously being compliant with GDPR, CCPA, NIS, ISO27K, NIST and the seemingly endless list of regulations is another beast altogether.
More drivers to get started with Data Governance are:
We believe to be uniquely suited to make your Transformation story a success.
Taking contact should be easy. You choose whichever option suits you best: