Data Analytics Capability Maturity Models for Small and Medium Enterprises – A Systematic Literature Review

Abstract

Organizations are recognizing the importance of investing in data analytics. For small and medium-sized enterprises (SMEs), developing effective data analytics capabilities can be an overwhelming task due to their limited resources. A Data Analytics Capability Maturity Model (DACMM) can be an essential tool for SMEs to assess their data analytics capabilities, pinpoint improvement areas, and create a roadmap for enhancing their data analytics maturity. Thus, a systematic literature review (SLR) is used to assess if any existing models may address the needs of SMEs in developing their data analytics capabilities. The SLR reviewed 18 models based on their component characteristics, assessment approaches, prescriptive focus, and theory and methodology used in model development. The result shows gaps in existing models, including limited dimensions for data management, the absence of a prescriptive model, and the need for theory-based, evidence-informed model development that fits the specific needs of SMEs. To this end, this research calls for the development of a new DACCM for SMEs using action design research.