Abstract
This research presents a novel Data Analytics Stage Model (DASM) to address the shortcomings of existing models. By analysing 26 prior models, several key gaps were identified: limited model synthesis, lack of methodological rigor, absence of legal compliance considerations, and unclear descriptions. DASM offers a comprehensive framework to help organisations assess their data analytics (DA) maturity, utilising transition tables to understand their developmental path. DASM's standardised structure and clear definitions provide a valuable tool for organisations seeking to enhance their DA capabilities.
Recommended Citation
Yan, Shuo and Jones, Jeff, "Establishing a data analytics stage model (DASM): Integrating “open coding” and conceptual mapping for enhanced maturity assessment" (2024). ICEB 2024 Proceedings (Zhuhai, China). 54.
https://aisel.aisnet.org/iceb2024/54