Implementing Effective Data Governance

In the third of our series of data management blogs, we look at data governance. The first blog described the symptoms of poor data management, the second looked at metadata tooling. Here, we bring the themes together. Data governance done badly can be expensive, time consuming, and can easily lead to fruitless bureaucracy. However, without it, the enterprise can be exposed to unreliable data quality, poorly understood data in divergent architectures, unpredictable impacts from IT change, and poor adherence to information security and regulatory obligations.

Whether you are just embarking on the data governance journey or adjusting your current direction, we recommend making a clear statement of what you expect your governance to deliver for the firm and keeping sight of that during the journey. Our view of its function and benefit is described below.