Organizations have never been confronted with more data management challenges and the costs and risks associated with inaccurate data have never been higher. With the sheer volume of data accumulating in organizations, it is not always easy to find the right data, let alone translate it into business insight.
These goals are realized by the implementation of a good data governance plan:
• Increasing consistency and confidence in decision making
• Decreasing the risk of regulatory fines
• Improving data security, also defining and verifying the requirements for data distribution policies
• Maximizing the income generation potential of data
• Designating accountability for information quality
• Enable better planning by supervisory staff
• Minimizing or eliminating re-work
• Establish process performance baselines to enable improvement efforts