Business Analytics Maturity Frameworks: A Systematic Literature Review

Abstract

In the current digital era, data and analytics are the triggers for business performance and competitive advantage. Data analytics, however, require the right set of capabilities that aid the organisations to leverage upon the analytics initiatives and excel in the competitive world. A large number of researchers, consultants and academicians have proposed different business data analytics models that are ready-to-use models, helpful for organisations to assess and utilise data analytics within their organisations. However, before adopting any model or creating any customised model, it is important to understand the key capabilities that derive business analytics maturity. This research aims to study and assess the existing Business analytics models, to derive these key capabilities. A total of 15 models from real-world, theoretical models and consultancy-led models are studied, and on the basis of key factors in each model, the key capabilities required to enhance business analytics are identified. It is found that every organisation needs four key capabilities, namely, leadership, information technology, human capital and organisation, to assess the business analytics maturity in their firms. Though the findings are made on the basis of thorough analysis of existing maturity models, further investigation is needed to identify the variables that may be relevant for different industries and countries.