Strategic Data Management in Organizations: Techniques, Principles, and Value

Abstract

Data quality depreciates when data is not managed persistently by the business. The ability for data systems to support business processes in the pursuit of business goals degrades over time when data quality degrades. This results in more cost but less benefit. Attempting to fix these problems at the operational level will not work. Adding more data and data systems in an effort to fix these problems only makes them worse. What will fix these problems is not more systems, more technology or more data, but data management. Data management advances the twin goals of data reusability and data quality - data that is timelier, more accurate, more complete, more accessible, more useful and less costly.