(Lessons from DAMA)
Data increasingly proves value to organizations. Data allows them to improve products, services and processes, reduce risks and gain competitive advantage by being able to predict demand more accurately.
Data Management is the key to optimally profit from the benefits data has to offer. Successful Data Management (DM) delivers the right data at the right stakeholder or process at the right time.
DAMA provides a standardized approach to organize Data Management. DAMA addresses several topics (‘knowledge area’s’) that are separately elaborated in the DAMA/DMBOK (Data Management Body of Knowledge). Think of domains like Data Storage, Data Interoperability, Data-warehousing and Data Security. Each domain describes its own objectives, activities, processes, deliverables and principles – the rules to conduct data management effectively. In total DAMA lists about 150 of those principles.
As this number of rules is hard to live by, we have analyzed all and condensed them into a manageable set of 10 golden rules that together define fundamental critical success factors of DAMA.
