strategic data managementarticle

Important Aspects of Data Management

Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. This definition is fairly broad and encompasses a number of professions, which may not have direct technical contact with lower-level aspects of data management, such as relational database management. In information system design, data modeling is the analysis and design of the information in the system, concentrating on the logical entities and the logical dependencies between these entities. Data modeling is an abstraction activity in that the details of the values of individual data observations are ignored in favor of the structure, relationships, names and formats of the data of interest, although a list of valid values is frequently recorded.

Latest strategic data management updates...

2009 Executive Hot Jobs: Strategic Hiring in, Volume Hiring Out (Business Wire via Yahoo! Finance)
NEW YORK----CTPartners, the performance-driven executive search firm, today released its 14th annual list of hot executive jobs. The 2009 report reflects a shift from volume hiring to strategic hiring against the backdrop of stark economic data emerging from the credit crisis still gripping world markets.

Air Canada Chooses Servigistics for Service Parts Management (PR Newswire via Yahoo! Finance)
Servigistics, the leading strategic service management solution provider, announced today that Air Canada, Canada's largest full-service airline and the largest provider of scheduled passenger services in the Canadian market, the Canada-U.S. trans-border market and the international market to and from Canada, has selected the Servigistics Service Parts Management solution to improve overall ...

SDM - Strategic Data Management
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Data.com - Your start page for data warehousing, database management & content management
Intelligent Enterpise: Strategic business applications that turn information into intelligence and Corporate Performance Management. Think ETL for Cost Effective Data Integration