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Advanced Research in Business Intelligence for Data Warehousing

This module builds on the foundation established in RIS625, focusing on research in business intelligence. It aims to compile a literature study document based on chosen topics or research problems. Topics include investigating clickstream patterns, collaborative decision-making, data handling in warehouses, BI/DW critical success factors, and more. Contact sessions are arranged individually between lecturer and student(s) using platforms like Blackboard and email. Assessment involves submitting a research document for evaluation and moderation by an external examiner.

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Advanced Research in Business Intelligence for Data Warehousing

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  1. RIS725Data Warehousing and Mining Dr. EduanKotzé

  2. General • Build on foundation established in RIS625 • Focus is on: Research in Business Intelligence • 20 credits

  3. Ultimate Module Outcome Compile a full literature study document based on the chosen topic. • Can choose from list of research problems. • Or use your own research problem.

  4. Example Research Topics • Investigate the usage of clickstream patterns in web-enabled BI tools. • Investigate collaborative decision making as an integration method to combine social software with BI capabilities. • Investigate how to improve the handling of semi-structured and unstructured data in data warehouses. • Further research is needed to investigate BI/DW critical success factors.

  5. Contact Sessions No formal classes. Contact / feedback sessions will be arranged individually between lecturer and student(s)

  6. Communication • Blackboard • E-mail • kotzeje@ufs.ac.za

  7. Assessment • The resultant Research Document will be assessed at the end of the semester. • It will also be moderated by an external examiner.

  8. Thank you!

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