Designing, Building, and Maintaining Comprehensive and Usable Enterprise Capability Models

Best Practice: Consider using AI to help with Enterprise Capability Model generation

Description

Humans have been creating Enterprise Capability Models (ECMs) for decades. However, this process is susceptible to many issues such as quality errors like inconsistencies, gaps in data, limited and poor relationships creation between capabilities and other Noun Types. Another issue is the amount of time it takes to manually create and validate the ECM. This all adds to significant funds for modelers to design it, build it (including population of data and relationships), govern it, and continuously improve it. For these reasons, the best practice is to. Leverage AI to help build an ECM.

Benefit(s)

Using AI as a means of assisting with ECM design, development, governance, and maintenance helps in the most obvious of areas…

• Quality: AI helps ensure higher quality in EMC models by assisting with things like completeness, consistency in data & information representations, data & information conformance, and that dirty data is identified and even automatically corrected.

• Time: AI helps design, build/populate, validate, govern, and improve the model faster.

• Cost: Time = Money. Quicker development reduces unnecessary spend.