In 2024, our research at Dresner Advisory Services revealed that only 32% of organizations have a formal data governance ...

In today’s fast-paced technological landscape, innovation fuels progress and transformation. As a recognized authority in ...

How can organizations ensure robust data governance and security while providing various departments with self-service data ...

Through effective data governance, state and local governments are working to improve decision-making, public trust and ...

Data Stewardship Model ‐ establishes roles through which data management procedures will be established and governance standards will be upheld ... Relevant to planning, managing, operating, or ...

There’s a popular concept that frames control as three concentric circles. At the center is the circle of control (where ...

potentially reducing risks in a model that those serving other functions might not see and helping mitigate them as part of the process. Successful data governance that supports critical ...

high-quality insights from this data is dependent on effective data governance. Implementing data governance is critical, but like all data initiatives, it requires internal adoption and ...

However, these models may not adequately cover data protection ... responsible AI governance – Generally speaking, “responsible AI” is the process of developing and operating artificial ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Operating in 70 different countries and 10,000 different cities, Uber has set up its data governance framework in a way that is almost fail-proof. Organizations should seek an integrated solution ...