MIDA - Method for Industrial Data Analysis based on CRISP-DM

As modern computers became increasingly more popular and larger amounts of digital data were available, different methodologies were proposed to extract information from data. CRISP-DM methodology quickly spread and is currently one of the most popular approaches used for data analysis. However, it has some shortcomings, such as beeing too general or business-centered. Different authors have proposed variations, more suitable to specific fields, in order to overcome those limitations. The present paper reviews CRISP-DM, some variations and similar methodologies, and proposes a Methodology for Industrial Data Analysis (MIDA) — amethodology conceived and improved over time, based on previous experience in industrial engineering processes. MIDA consists of eight steps and partially overlaps with CRISP-DM. It has been successfully applied in several previous projects.