Innovation in Banking: A look at commoditization

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.