Data is the foundation for every business decision, and with the rise of artificial intelligence, the way we own, protect, and utilize data has been elevated. Data governance is a well-known priority for leadership in every industry. By 2027, 60% of organizations that fail to tackle data governance culture will struggle to successfully govern AI, as per Gartner, and it is important that governance be made a joint initiative between business and IT teams, as well as integrated with business outcomes.
This scenario is changing enterprise plans for 2027, with strategy taking centre stage in all data initiatives. Leading organizations don't view governance as a discipline in one department; they think of it as a discipline that supports business, business processes, and all the teams that rely on data.
What does it take to master data governance? A clear plan of action organized into a logical sequence of steps will lead to the desired results. Each step advances subsequent actions while improving stewardship, reliability, and trust in data within the organization.
These data governance strategies are all presented in one view in the infographic below, which can help your team master them. Dive in and learn how to keep data accurate, secure, trusted, and ready for AI, as a leader.
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