TAF PUBLISHING

The surging call for SMEs in the private transportation domain to apply data analytics in its business is evidential. However, to date, there is a lack of specific data mining methodology or framework customized to meet the demand of the private transportation domain. Considered as a de-facto data mining methodology by the industry to date, the Cross-Industry Standard Process for Data Mining (CRISP-DM) consists of a six-phase process that is extendable in the framework – from generic to specialized tasks. The traditional CRISP-DM methodology exemplifies the DM application area, issues identifications, technical, tools and technique requirements. Through this study, an Enhanced CRISP-DM for SME Coach Operator (ECSMCO) methodology was developed. The extended methodology aims to curb the existing application limitation identified in the small and medium-sized enterprises (SMEs) by proposing an enhancement to the existing CRISP-DM activities. To evaluate the novel ECSMCO’s acceptability, three UK SME coach operators were identified to apply and evaluate the ECSMCO methodology. The outcome of this paper will ascertain the users’ acceptability outcome of the applied ECMSCO methodology.