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Majority of the Higher Learning Institutions are being implemented with information management systems for all the core activities ranging from admission, registration, alumni, graduate and academy operations. The data generated by these integrated information systems are transactional in nature and has been increasing exponentially. However, the use and value of the data has not been fully explored for driving decision-making process.

The paper concludes by outlining future directions relating to the development and implementation of an institutional project on data analytics. Skip to main content. This service is more advanced with JavaScript available. Advertisement Hide. World Conference on Information Systems and Technologies.

Conference paper. This is a preview of subscription content, log in to check access. Aloush, S. Basic Appl. Ambara, M. Jurnal Teknologi Elektro 15 1 , 1—8 Google Scholar.

Sign up Log in. Web icon An illustration of a computer application window Wayback Machine Texts icon An illustration of an open book. Books Video icon An illustration of two cells of a film strip. Video Audio icon An illustration of an audio speaker. Audio Software icon An illustration of a 3.

Software Images icon An illustration of two photographs. Images Donate icon An illustration of a heart shape Donate Ellipses icon An illustration of text ellipses. In the beginning of this book chapters 1 through 6 , you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata.

After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes.

Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly.