Data is crucial in a digital transformation environment, which everyone is aware of. In real-time, gaining control and accurately governing this new fuel will not occur automatically. In this post, let’s understand the common data governance [DG] blunders and tips to avoid them.
DG is not enterprise-driven
The Data Governance approach is an enterprise-wide initiative, which needs IT and business support. If it is IT-driven then your chances of success will be limited. DG implementation needs support from the administrative, executive, and lower management levels. Everyone associated with the company will need to be on board. Only this kind of commitment and responsibility will make data governance happen successfully.
Data maturity is too low or unknown
The knowledge about data governance importance is fine but to be ready to implement it is another story. For this, you will need to learn about your company’s data maturity levels. Data Management Education offers data governance training services, where learners will gain knowledge about determining data maturity levels. According to surveys, more than 60% of companies are ranked in the lowest 3 levels [Gartner Model].
If you are using Gartner Model then your company has to be near the organized maturity level. In case, you find your company beyond than before moving to the next phase of your initiative fix this. Without a minimum maturity level, there is no point in taking the next steps because nothing can be created without essential foundations.
Never view data governance as a project
Data governance implementation must never be viewed as an in-house project. It is a well-defined structure that needs contribution and commitment from each one associated with the company. As soon as the stakeholders approve DG implementation, the next challenging step is to win the minds and hearts of wider businesses.
It may require changes in behaviors, attitudes, and even culture [which can be overlooked]. The top-secret to ensure your entire business embraces DG implementation lies in clearly communicating the transition time frame from the current situation to achieving DG as standard procedure.
Tips to avoid common data governance blunders
Data governance is a blend of people, processes, & platforms. You need to focus on all three of them….it is never just one or two!
- Data governance implementation makes people involved work differently. They may possibly need to let go of exclusive data ownership. Keep in mind, every element will need robust change management.
- Data governance implementation tilts your business from a silo-based approach to a data-driven perspective. CRM is not the only solution that owns the customer database but it can be available to every major stakeholder involved in data-based business processes.
- The success of a data governance program depends on making it as easy and efficient as possible for each stakeholder to follow. Look beyond traditional SharePoint, Excel sheets, and Wiki-type solutions. Look into platforms that support your overall data governance community.
Data governance implementation is an ongoing route instead of an array of boxes you need to tick. Nevertheless, it needs consent from the entire company. Aligning your DG strategy with wide objectives empowers your business to make a profitable business while satisfying the regulators.