Carnegie Technology Group

Enterprise Information/Data Management

The perceived importance of data has incrementally increased during the evolution of software programming. During the era of procedural programming, data was less important than code. In the heyday of object-oriented programming, data became as important as code. But today in the emerging age of model-driven programming, data is more important than code.

As service-oriented architectures (SOA's) take hold and functional capabilities are automated through service components, it becomes more evident that an enterprise's data architecture and SOA are inextricably linked. With the move toward a service-based application architecture, technical implementation details become more hidden and system interactions turn more toward information requests and responses. Data standards become more important than ever; especially for information shared among communities of practice within an agency or across the federal government.

Carnegie helps organizations in the following areas:

Information Architecture
Data Standards & Metadata Management
Data Aggregation
FEA Data Reference Model Implementation
Information Lifecycle Management - Document, Content, and Records Management Convergence
Taxonomy & Semantics Development
KM, Portal & Search Solutions
Training To Support Widespread Use of Enterprise Information

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