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Additional Reading Resources

Literature

  • Cole Nussbaumer Knaflic. Storytelling with Data: A Data Visualization Guide for Business Professionals. Wiley. 2018.

  • Davenport, T. H., Harris, J. G., and R. Morison. Analytics at Work: Smarter decisions, better results. Harvard Business Press. 2010.

  • Harvard Business Review. HBR Guide to Data Analytics Basics for Managers. Harvard Review Press. 2019.

  • Holsapple, C., A. Lee-Post, and R. Pakath. A unified foundation for business analytics. Decision Support Systems Volume 64 Issue C. 2014. 130-141.

  • Hubbard, D.W. How to Measure Anything: Finding the Value of Intangibles in Business. Wiley. 2014.

  • International Institute of Business Analysis. A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide), Version 3. International Institute of Business Analysis. 2015.

  • Jones, Herbert. Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners. Herbert Jones. 2018.

  • Laursen, G. H. and J. Thorlund. Business analytics for managers: Taking business intelligence beyond reporting. Wiley. 2016.

  • Provost, Foster and Tome Fawcett. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. O’Reilly. 2013.

  • Saxena, Rahul Narain, and Anand Srinivasan. Business Analytics: A Practitioner’s Guide. Springer. 2013.

  • Shmueli, G., Peter C. Bruce, Inbal Yahav, Nitin R Patel, and Kenneth C Lichtendahl Jr. Data Mining for Business Analytics: Concepts, Techniques, and Applications. Wiley. 2017.

  • Simon, P. Too Big to Ignore: The Business Case for Big Data. Wiley. 2013.

  • Viaene, S. and Annabel Van den Bunder. The Secrets to Managing Business Analytics Projects. MIT Sloan Management Review v53. 2011. 65-69.

Articles and White Papers