eLearningCurve

From Business Case to Building Data Quality Organization

Much like any other important endeavor, success in data quality depends on having the right people in the right jobs. But who, specifically, are these people and what are they supposed to do? The question is especially crucial because virtually everyone touches data in some way or other and so can compromise their quality. This online training course works through roles and responsibilities for three case studies, while teasing out the principles needed to create successful data quality organizations. It also offers in-depth discussion of the critical first step on the road to data quality management - developing and delivering powerful and effective business case for data quality.

• The politics of data quality management
• The key principles in building data quality organizations
• Various roles and responsibilities in data quality management
• Various data quality organization models, including:
• a departmental level model
• a data provider model
• a fully-functioning enterprise group led by Chief Data Office
• How to perform cost-of-poor-data-quality (COPDQ) analysis
• How to build and deliver business case for data quality

• Data quality professionals and practitioners
• Data governance professionals
• Senior leaders who want to understand "where data fits" and "why data quality matters"
• Business managers who lead departments or teams heavily dependent on data
• IT managers and project managers involved in data quality management