| Abstract: | According to the stages of growth theory, things change over time, in sequential, predictable ways. Eight experts participated in a study that identified three data warehousing stages of growth - (1) initiation, (2) growth, and (3) maturity - and the variables that define each stage - data, architecture, stability of the production environment, warehouse staff, users, impact on users' skills and jobs, applications, costs and benefits, and organizational impacts. the data warehousing stages of growth model is useful in understanding and predicting how organizations' data warehouses change. the experts also suggested how recent developments in data warehousing are affecting the stages. Recommendations are given for managing the progression through stages. |
