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Enterprise Data Management is the global function that facilitates the management of data as an asset of an organization. Its collection of components aligns to provide the capabilities to manage data as an organization resource, and to address data management challenges and implement data management best practices. It is important to use an industry standard and vendor-neutral data management framework to understand and implement an effective enterprise data management program with the correct data management components.
Gartner has suggested 6 possible approaches to measuring the value of data
Microsoft MDS – CIOs Should Seek Alternatives Microsoft Master Data Services (MDS) has been bundled within SQL Server software (2008 R2) since 2010 and is
Economist Garrett Hardin warned what happens to assets that aren’t managed. Follow these tips to improve data asset management
Data is a special type of Circulating Asset, with very distinct and useful properties
Many points of alignment exist between the functions of enterprise data management and the discipline of emergency management and disaster planning and recovery.
If the promise of effective data sharing is to reach its full potential, definition of the data sharing process and solutions must be clearly defined and commonly accepted
Organizations can and should assess the business value of its data and information to generate economic benefits.
Every successful organization views data as an indispensable component of operations and decisions. Data can be seen as an essential employee – more than as
Building a Data Marketplace is not an easy task, requiring innovative, disruptive, and differential technical and cultural solutions. Follow some useful tips on organizational, cultural,
Enterprise data management often suffers from a lack of funding and organizational support. There is a solution. As organizations examine the need for enterprise data
Data is an asset that has a distinguishing characteristic: the more it is shared, the more its value and potential impact increase. It is important
Not all responsibilities for data and its management fall under the role of Chief Data Officer (CDO). Different data types require different accountability, and different
