A data model is a conceptual representation of the structural organization of a database. It is to a data engineer what a blueprint is to an architect, focusing on what data is contained within a database and how that data is organized, rather than focusing on what operations will be performed on the data. An accurate data model—usually represented graphically—acts as a framework for making it easier to develop new or enhanced applications. A data model can also help you uncover ineffective, or even unused, data structures, relationships and dependencies, and processes that are keeping your business from operating efficiently.

FGM has extensive experience in developing and exploiting data models for enterprise architectures, workflow applications, software systems, and database systems. Our data engineering experts are experienced in evaluating potential architectures, designing optimal data flow for the enterprise, predicting system performance, and guiding subsequent system design and development. Our experts can develop the logical data models and workflow necessary to integrate multiple data sources from across your enterprise, as well as capture the metadata necessary to simplify the integration of heterogeneous data systems.

FGM’s integrated approach not only models the data, but also incorporates interfaces and communications requirements to optimize performance, scalability, and data integrity for new and existing information systems. The result is a tailored blueprint—a bridge— between abstract data concepts and real-world business efficiencies.

Employing data models as a bridge
between abstract data concepts and
real-world business efficiencies.

	Joseph J. Pantella Vice President Integrated Defense Systems joe@fgm.com Ph.: 703.885.1000 Fax: 703.885.0130

	Case Study: NCES Supporting DoD's efforts to improve information-sharing, application reuse, and enhance interoperability between organizations
	Case Study: One VA Achieving Data Compatibility Across the Department of Veterans Affairs