Developments in Data Mining, Applied Business Intelligence, and Big Data based on the analysis of very large data sets typically arising from enterprise information and customer transactions databases in organisations, motivate this research programme. The programme draws from ideas researched in related research programmes such as Stochastic Modelling and Applied Statistics in Finance, Insurance, Economics, Business and Banking (STOMFIEBB), Business and Finance, and the Statistics and Informatics research programmes of the Statistics, Information Modelling and Financial Mathematics (SIMFIM) Research Group, Sheffield Hallam University UK (www.shu.ac.uk). The SIMFIM group is led by Dr Patrick Oseloka EZEPUE, see his profile in the Resource Persons part of this website. All programme notes in those sections of this website apply to the STOMFIEBB programme, including remarks on related PhD topics.