Contributed Paper C146
Building a culture of data driven decision making in higher education using data warehousing.
AuthorsJohnson Mwangi (Kenya)
Bernard Alaka (Kenya)
PresenterJohnson Mwangi (Kenya)
In this era of swelling global competition for students, disjointed data sources, snowballing education costs, and intensified regulatory requirements are driving the need for insight and analysis of the core business of higher education. Currently, majority of learning institutions rely on numerous transactional database systems standing in silos to manage their data and information. In order to perform data mining, regular data bases must be converted into a single integrated data source better known as data warehouse. Strathmore University has managed to centralize all its operational/transitional databases into an informational warehouse useful to decision makers to conduct analysis, prediction, and forecasting. The data warehouse has been implemented in four stages of data migration namely: data extraction, data cleaning and transformation, data archiving, and data visualization.