In most data governance and data quality efforts, there are common and inevitable scenarios involving human dynamics that occur, and the success of these programs depends on how we handle them. So why not be prepared and learn principles and techniques that have been proven to work and be aware of common mistakes to avoid? A key to data governance and data quality is to understand the personal, cultural, and political environment and to consciously employ best practices regarding the human element that is involved. The most effective enterprise-wide data governance and data quality efforts usually share one thing in common: They have had or have developed effective ways to handle common scenarios that are bound to occur, and they develop an environment that provides fertile ground for success.
This presentation will share principles, techniques, and exercises to help tackle these common scenarios and to understand and move toward an environment that enables data governance and data quality. It will provide stories of successful and unsuccessful efforts, illustrating why some programs succeed and others fail, as well as what we can do to avoid pitfalls.
You will learn: