About Tom Khabaza
Tom helps organisations improve their marketing and customer processes, and to improve their efficiency, risk analysis and fraud detection, through new knowledge and predictive capabilities extracted from their data.
Tom has worked in the field of data mining for 17 years, and is one of the authors of the world-leading Clementine data mining workbench, and of the CRISP-DM industry standard data mining methodology. Tom has undertaken data mining for organizations in a wide range of sectors including banking, telecommunications, retail, manufacturing, media, science and medicine, government and law enforcement, in addition to data mining R&D with a wide range of commercial and academic partners.
