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2020 | z. 143 Contemporary Management | 319--328
Tytuł artykułu

Identifying Important Skills Set to Support Reporting and Analyzing in Project Management

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Treść / Zawartość
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Języki publikacji
EN
Abstrakty
EN
Purpose: The article presents the results of qualitative research related to identifying the set of skills needed in project management business analysis. Design/methodology/approach: To recognize the set of skills, it was important to focus on three pivotal issues, starting with specifying which layers of business analysis in project management can be extracted, then answering the question of which IT tools are to be used in this analysis as well, and which skills are needed to perform in it. The main research method was participation observation by way of the author's involvement in a project management team. Findings: The following layers of business analysis in project management were established: 1) data management, 2) intelligent calculations, 3) delivery mode, 4) consumption device, 5) business enablement. The most important skills are as follows: joining disparate data sources, cleaning data, organizing data better, creating calculations, adjusting visualizations to the tools used by end-users to consume visualizations. MS Excel and MS Access were found to be valuable tools used in this analysis. Originality/value: New in the paper is an examination of the set of skills needed in the project management business analysis in the context of applying MS Excel and MS Access. (original abstract)
Twórcy
autor
  • Silesian University of Technology
Bibliografia
  • 1. Abbott, D. (2014). Applied predictive analytics: Principles and techniques for the professional data analyst. John Wiley & Sons.
  • 2. Al-Sakran, H.O. (2014). Analysis of Business Analytics Curricula and Job Demand in Saudi Arabia. Life Science Journal, 11:8, 918-926.
  • 3. Bobriakov, I. (2018). Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018. Retrieved from https://www.kdnuggets.com/2018/02/comparative-analysis-top-6-bi- data-visualization-tools-2018.html.
  • 4. Chiang, R.H.L., Goes, P., and Stohr, E.A. (2012). Business Intelligence and Analytics Education, and Program Development: A Unique Opportunity for the Information Systems Discipline. ACM Transactions Management Information Systems, 3:3, 12.
  • 5. Chung, L. (2019). Microsoft Access versus Microsoft Excel for Data Analysis and Reporting. Retrieved from http://www.fmsinc.com/MicrosoftAccess/DataAnalysis/versus- excel.html, 2019.06.20.
  • 6. Davenport, T.H., and Patil, D.J. (2012). Data Scientist: The Sexiest Job of the 21st Century. Harvard Business Review, 90, 70-76.
  • 7. Davis, G.A., Woratschek, C.R. (2015). Evaluating Business Intelligence/Business Analytics Software for Use in the Information Systems Curriculum. Information Systems Education Journal, (13:1), 23-29.
  • 8. Dykes, B. (2010). Reporting vs. Analysis: What's the Difference? Retrieved from https://theblog.adobe.com/reporting-vs-analysis-whats-the-difference/, 2010.10.19.
  • 9. Edgington, T.M. (2011). Introducing Text Analytics as a Graduate Business School Course. Journal of Information Technology Education: Innovations in Practice, 10, 207-234.
  • 10. Gorman, M.F., and Klimberg, R.K. (2014). Benchmarking Academic Programs in Business Analytics. Interfaces, 44:3, 329-341.
  • 11. Green, A. (2010). Seven Free Data Wrangling Tools. Retrieved from https://www.varonis.com/blog/free-data-wrangling-tools/, 2010.10.30.
  • 12. Hosack, B., and Sagers, G. (2015). Applied Doctorate in IT: A Case for Designing Data Science Graduate Programs. Journal of the Midwest Association for Information Systems, 1:1, 61-68.
  • 13. Lee, Y., Madnick, S., Wang, R., Wang, F., and Zhang, H. (2014). A Cubic Framework for the Chief Data Officer: Succeeding in a World of Big Data. MIS Quarterly Executive, 13:1, 1-13.
  • 14. Li, L., Zhang, C., and Zheng, G. (2014). Identifying Important Skill Sets to Support Healthcare Data Processing and Analytics: An Empirical Examination of Perceptions from HIT Practitioners. Proceeding of Twentieth Americas Conference on Information Systems. Savannah, Georgia.
  • 15. Mamonov, S., Misra, R., Jain, R. (2015). Business Analytics in Practice and in Education: A Competency-based Perspective. Information Systems Education Journal, 13:1, 4-13.
  • 16. Negash, S. (2004). Business intelligence. Communications of the Association for Information Systems, 13, 177-195.
  • 17. Ong, L., Siew, P.H., & Wong, S.F. (2011). A five-layered business intelligence architecture. IBIMA Publishing, 695619. doi:10.5171/2011.695619.
  • 18. Pomykalski, J.J. (2014). Teaching Business Intelligence through Case Studies. Proceedings of the Information Systems Educators Conference. Baltimore, Maryland USA.
  • 19. Presthus, W., and Bygstad, B. (2012). Business Intelligence in College: A Teaching Case with Real Life Puzzles. Journal of Information Technology Education: Innovations in Practice, 11, 121-137.
  • 20. Sircar, S. (2009). Business Intelligence in the Business Curriculum. Communications of the Association for Information Systems, 24, 289-302.
  • 21. Todd, J. (2017). Data-Driven Decisions: Business Intelligence (BI) Training Skills. All Theses And Dissertations, 127. Retrieved from http://dune.une.edu/theses/127.
  • 22. Top Business Intelligence Trends 2019: What 2,679 BI Professionals Really Think. Retrieved from https://bi-survey.com/top-business-intelligence-trends.
  • 23. Van der Aalst, W.M. (2014). Data Scientist: The Engineer of the Future. Proceedings of the I-ESA Conferences, Enterprise Interoperability VI. Springer International Publishing, 13-26.
  • 24. Wang, Y. (2015). Business Intelligence and Analytics Education: Hermeneutic Literature Review and Future Directions in IS Education (May 6, 2015). Proceeding of Twenty-First Americas Conference on Information Systems (AMCIS), Puerto Rico. Available at https://ssrn.com/abstract=2603365.
  • 25. Watson, H.J. (2009). Tutorial: Business intelligence - past, present, and future. Communications of the Association for Information Systems, 25, 487-510.
  • 26. Wilder, C.R., & Ozgur, C.O. (2015). Business Analytics Curriculum for Undergraduate Majors. INFORMS Transactions on Education, 15:2, 180-187.
  • 27. Wixom, B., Ariyachandra, T., Douglas, D., Goul, M., Gupta, B., Lyer, L., Kulkarni, U., Mooney, J.G., Phillips-Wren, G., and Turetken, O. (2014). The Current State of Business Intelligence in Academia: The Arrival of Big Data. Communications of the Association for information Systems, 34, 1-13.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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