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BIA 762

Linked Articles

MODULE ARTICLE
Week 1 Davenport, T. H. (2013). Analytics 3.0. Harvard Business Review, 91(12), 64–72.
Week 1 Ustundag, A., Cevikcan, E., & Beyca, O. (2022). Business Analytics for Managers. In Business Analytics for Professionals (Springer Series in Advanced Manufacturing, pp. 3-20). Switzerland: Springer International Publishing AG. https://doi.org/10.1007/978-3-030-93823-9_1
Week 1 Krishnamoorthi, S., & Mathew, S., (2018). Business analytics and business value: A comparative case study. Information & Management, 55(5), 643-666.
Week 1 Hindle, G., & Vidgen, R. (2018). Developing a business analytics methodology: A case study in the foodbank sector. European Journal of Operational Research, 268(3), 836-851.
Week 1 Ashrafi, A., Zare Ravasan, A., Trkman, P., & Afshari, S. (2019). The role of business analytics capabilities in bolstering firms’ agility and performance. International Journal of Information Management, 47, 1-15.
Week 1 Bichler, M., Heinzl, A., & Van der Aalst, W. (2017). Business Analytics and Data Science: Once Again? Business & Information Systems Engineering, 59(2), 77-79.
Week 2 Tripp, J. (2019). Data Visualization. In Essentials of Business Analytics (International Series in Operations Research & Management Science, pp. 111-135). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-68837-4_5
Week 2 Bayyurt, N., Baday, S. (2022). Descriptive Analytics. In Business Analytics for Professionals (pp. 21-48). Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-030-93823-9_2
Week 2 Friendly, M. (2008). A Brief History of Data Visualization. In Handbook of Data Visualization (Springer Handbooks Comp.Statistics, pp. 15-56). Berlin, Heidelberg: Springer Berlin Heidelberg.
Week 2 Berinato, S. (2016). Visualizations that really work. Harvard Business Review, 2016(June), 1.
Week 2 Nussbaumer, K. C. (2015). Storytelling with data : A data visualization guide for business professionals. John Wiley & Sons, Incorporated.
Week 3 Vaisman, A., & Zimányi, E. (2022). Data Warehouse Concepts. In Data Warehouse Systems (Data-Centric Systems and Applications, pp. 45-74). Berlin, Heidelberg: Springer Berlin Heidelberg.
Week 3 Paulraj Ponniah. (2010). Defining the Business Requirements. In Data Warehousing Fundamentals for it Professionals (pp. 99-120). Hoboken, NJ, USA: John Wiley & Sons.
Week 3 Paulraj Ponniah. (2010). Principles of Dimensional Modeling. In Data Warehousing Fundamentals for it Professionals (pp. 223-248). Hoboken, NJ, USA: John Wiley & Sons.
Week 3 Ponniah, P. (2010). Data warehousing fundamentals for IT professionals (2nd ed.). Hoboken, N.J.: John Wiley & Sons.
Week 3 Ansari, M., & Smith, J. (2017). Warehouse Operations Data Structure (WODS): A data structure developed for warehouse operations modeling. Computers & Industrial Engineering, 112, 11-19.

 

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