Lessons from history can inform data management and data governance professionals as well as those in the social sciences. Data governance must be able to adapt to all situations, including world war. Data Management professionals can learn from history, and
Just as organizations require a vision for data governance it is important to have a mission for the data governance program as well. Mission and vision statements are complementary and not synonymous. Definition of Mission Turning to the definitions of
Organizations are changing their decision-making process from an expertise and intuition basis to data and information foundation. Doing so points to the need for effective data governance. A book by a Yale University econometrician, Ian Ayers, looks at a trend
Data does not exist in a vacuum. Therefore, data governance should not be practiced alone. Remember to include the processes that affect and are affected by data for a robust data governance program Governance is defined by Merriam-Webster as “the
Data governance is the cornerstone domain of the enterprise data management discipline. The functions of data governance are essential to any successful enterprise data management initiative Many organizations are pursuing numerous data-oriented initiatives, such as customer integration, master data management,
Data governance professionals should take advantage of the variety of social media and social networking opportunities available to advance their knowledge, their programs, and their careers Most data governance initiatives start as a result of an event (discovery of data
A data governance charter is a statement of intent for the organization to follow as it designs and implements its data governance program Many companies are discovering a problem when they attempt to integrate separate systems into an enterprise view
Effective data governance starts with a vision, and that vision must be at the enterprise level and commonly understood and communicated. At the highest level, data governance is concerned with the management of data – its availability, currency, usefulness, accuracy
Having an organizational understanding of the essential data used across the enterprise, through the development of a Subject Area Model and a foundational Conceptual Data Model, can improve the effectiveness of a Data Governance program Increasingly, enterprises are recognizing the
Every organization needs to know and apply proven, best practices in data governance to be able to realize the value of their data and information assets Governance defines the way we manage, monitor and measure different aspects of an organization.
