Knowledge- and Resource-based Views Driving the Development of the Analytics Maturity Framework

Resource-based and Knowledge-based Views (RBV and KBV) have been used to underpin models predicting analytics’ contribution to competitive advantage, growth and company performance. However, so far neither RBV nor KBV have been used to derive benchmark-oriented and holistic models of growth based on the capability maturity model (CMM). Here we address this gap and demonstrate how KBV and RBV can serve as a theoretical basis for our Analytics Maturity Framework (AMF). It is differentiated from existing analytics maturity models by using a firm theoretical foundation and providing guidance for future growth instead of simply diagnosing the existing maturity level. Indeed, AMF distinguishes two aspects of maturity: “state”, assessing the present situation, and “management”, analysing existing processes to establish the next stage of growth. AMF has been implemented as a web-based diagnostic tool and feedback from practitioners has indicated a strongly positive validation of its usefulness and applicability across sectors.