3.2.5: Engineer the FEA to Standardize Linkages between Reference Models
The FEA reference models successfully established common taxonomies for describing, comparing and analyzing IT investments
within each layer of an agency’s EA. Once agencies mapped their investments to the FEA reference models, the FEAPMO used the
data to perform more detailed cross-agency analysis to identify duplicative investments, gaps, and opportunities for collaboration
within and across Federal agencies. While these analytics were useful in discovering opportunities for collaboration, they
do not discover hidden cross-reference model patterns and reuse opportunities. The reference models need to explicitly connect
with elements of other reference models to move analytics beyond the analysis conducted today. This will enable OMB to uncover
hidden patterns across reference models suggesting reuse opportunities not intuitively obvious. The FEA PMO will use data
mining and analytics to infer relationships between the various reference models. EA budget data will be analyzed to identify
“patterns” that suggest logical linkages between the various FEA reference models. These patterns are recurring combinations
of business, service, data, and technical elements reflecting certain business models and can be used to deliver similar business
services across the Federal government. Enhanced linkages between FEA reference models will greatly improve the ability to
identify and implement cross-agency initiatives and collaboration opportunities generating significant cost savings and improved
mission performance.
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