Topic outline

  • Exam

    • Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

      In order to complete the course you must either take the final exam or write a learning diary. Those taking the exam, can choose their own topic on which you wish to write an essay. That is, you do not have to read the course book from cover to cover. Rather, I want you to take responsibility and ownership of your own learning.

      Therefore, you must think of the exam from your point of view and fit the exam topic around your education or hobbies. For example, if you are studying finance, you may select a topic on how BI supports risk management. If you are studying marketing, you may select a topic on how to effectively analyze customer feedback. If you are interested in football, you may think of the analysis methods that help develop footballers. Anything goes, as long as the topic relates to BI and comes with a question that you intend to answer. Please read carefully the Exam Rubric for more information on the exam and the process.

      Before taking the exam, you must provide your topic proposition before April 1, 2019 at 3 PM. You may do this by sending an email to Yong Liu. Without having a confirmation you cannot take the exam. Note also that you cannot choose a topic that someone else has already chosen. Please see below for the selected topics. If you are having trouble choosing a topic, see the topics from last year (do not choose an identical topic though) or contact Yong Liu

      Reserved topics

      • Data Visualization in BI Utilization
      • Strategic Scenario Planning With BI Tools
      • Data harmonization in organization's marketing reporting
      • Effects of GDPR regulation on BI
      • Analytics in service price optimization
      • Predictive analytics in the NFL
      • UX improvement in team-based combat game with BI application
      • Transforming BI via Natural Language Processing
      • Master data management in business intelligence
      • Data analytics in digital sales
      • Data quality issues in CRM systems
      • Designing seasonal promotion campaigns via data analytics
      • Data Driven Performance within Multi-Sided Platforms
      Recipe to get a high score in the exam: Please give reflection on the topic other than simply saying some thing is important or providing answers that are very intuitive. Showing critical thinking and own reflection supported with evidences or proper argument is important to get a high score. 

      Topics from last year


      • System Dynamics Modelling in Business Decision-Making
      • Business Reporting and Data Visualization
      • Improving Profitability in Retail Banking with Predictive Analytics
      • Performance Based Marketing in the eCommerce domain
      • Business Intelligence Tools in Supercell
      • Innovating Politics and Elections with Data
      • How Cambridge Analytica utilized BI tools to influence the 2016 US presidential election and Brexit vote
      • GDPR effect on Business Intelligence
      • The Future of Business Intelligence: Augmented Analytics
      • Role of Business Intelligence in Construction Companies' Profitability
      • ETL in data warehousing
      • Association rule mining (market basket analysis) in retail promotion planning
      • What is data quality management and why is it important for analytics?
      • Predictive Analytics in Basketball
      • The use of machine learning in player performance analysis in Football
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      Exam evaluation rubric File
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      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant
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