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Extending and Automating Maturity Models for More Value

Abstract

Maturity Models are widely used to quickly assess the status of a capability within organisations and to allow comparison across organisations and over time. The use of maturity models may be discouraged by friction of collecting the information, calculating ratings and managing the information over time. Value delivered is limited if only a rating results. Much higher value can be achieved if the models are extended to provide recommended actions and further still if such actions can be filtered by relative effort and sequenced to respect dependencies or resource constraints. Automation can remove friction and encourage use. This paper documents the creation of a generic meta model (domain model) for maturity models extended to support recommendations and their filtering and prioritisation. The meta model use is validated in a case showing rapid automation in a SaaS Enterprise Modeling platform. The paper concludes with considering the Return on Modelling Effort of this approach.

Published in

Models at Work @ Practice of Enterprise Modelling (PoEM), London, UK