skip to main content
10.1145/3345252.3345287acmotherconferencesArticle/Chapter ViewAbstractPublication PagescompsystechConference Proceedingsconference-collections
research-article

Integration of "Business Intelligence" Course to Master Academic Studies in Informatics

Published: 21 June 2019 Publication History

Abstract

In this paper will be presented initial experiences of delivering elective course "Business Intelligence" that first time incorporated in MSc study at Department of Mathematics and Informatics, Faculty of Sciences. The aim of this paper is to point out the necessity of timely adaptation of curricula and introduction of courses that enhance the knowledge and skills of students and which are of great importance for both the students themselves and for strengthening the business and success of companies. By introducing the "Business Intelligence" course in Master Informatics courses, students will have the opportunity to acquire new knowledge and skills, in order to meet the modern challenges of companies, which can enable them to have potential for successful career. The modern business and success of a company depends on analyzing a large amount of data, to the way of displaying the required results, and timely decision making using an appropriate software tool and environment.

References

[1]
S. Lalic, 2016 Improving the business intelligence system by the process of group decision making, Doctoral Dissertation. Faculty of Organizational Sciences, Belgrade.
[2]
S. Machlis, Learn to use R, COMPUTERWORLD.COM
[3]
Kissi, Philip & Cemal Nat, Muesser & Idowu, Adeleye. 2017 Taking Business Intelligence to Business Education Curriculum: Graduate Students' Concerns. Business, Management and Education. 15. 77--90.
[4]
Dwight Barry, Business Intelligence with R, 2016, http://leanpub.com/businessintelligencewithr
[5]
Fox, John & Andersen, 2005 Robert "Using the R Statistical Computing Environment to Teach Social Statistics Courses", Department of Sociology, McMaster University.
[6]
S. Mrdalj, Teaching an Applied Business Intelligence Course, Issues in Information Systems, Volume VIII, No. 1, 2007, pp. 134--138.
[7]
MF. Gorman, RK. Klimberg, 2014, Benchmarking academic programs in business analytics. Interfaces 44(3):329--341.
[8]
Watson HJ, 2013 The business case for analytics. BizEd XII(3): 48--54.
[9]
Gupta, Babita; Goul, Michael; and Dinter, Barbara, 2015, "Business Intelligence and Big Data in Higher Education: Status of a MultiYear Model Curriculum Development Effort for Business School Undergraduates, MS Graduates, and MBAs," Communications of the Association for Information Systems: Vol. 36, Article 23. Available at: http://aisel.aisnet.org/cais/vol36/iss1/23
[10]
R.H.L. Chiang, P. Goes & E.A.Stohr, 2012, Business intelligence and analytics education, and program development: A unique opportunity for the information systems discipline. ACM Transactions in Management Information Systems, 3(3), 12:1-12:13.
[11]
B. Wixom, B, T. Ariyachandra, D. Douglas, M. Goul, B. Gupta, L. Lyer, U. Kulkarni, J.G. Mooney, G. Phillips-Wren, and O. Turetken. 2014. "The Current State of Business Intelligence in Academia: The Arrival of Big Data," Communications of the Association for information Systems 34, pp. 1--13.
[12]
Y. Wang: Business Intelligence and Analytics Education: Hermeneutic Literature Review and Future Directions in IS Education. AMCIS 2015 - 21st Americas Conference on Information Systems, AMCIS 2015, Puerto Rico, August 13-15, 2015. Association for Information Systems 2015
[13]
Gary Alan Davis, Charles R. Woratschek, Evaluating Business Intelligence/Business Analytics Software for Use in the Information Systems Curriculum, Information Systems Education Journal (ISEDJ) 13 (1), January 2015, pp. 23--29.
[14]
S. Isljamovic, 2015, "Business Intelligence usage for analysis and prediction of University students success", Faculty of organizational sciences, Doctoral Dissertation, Beograd.
[15]
R. Coleen, Wilder, O. Ceyhun, Ozgur, 2015, Business Analytics Curriculum for Undergraduate Majors, Vol. 15, No. 2, pp. 180--187, ISSN 1532--0545.

Cited By

View all
  • (2024)Delivering a Business Analytics Course Focused on Data Mining for Both Technical and Non-Technical StudentsJournal of Information Systems Education10.62273/MWCG1518(86-98)Online publication date: Jan-2024
  • (2024)Examining Essential Factors on Student Performance and Satisfaction in Learning Business AnalyticsInformation Systems Education Journal10.62273/JBVL206422:4(48-61)Online publication date: 2024
  • (2024)Drivers of Student Learning Success in Business Analytics: A Model Investigating Learning Outcomes and IntentionsJournal of Information Systems Education10.62273/FGLP822535:4(512-524)Online publication date: Nov-2024

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
CompSysTech '19: Proceedings of the 20th International Conference on Computer Systems and Technologies
June 2019
365 pages
ISBN:9781450371490
DOI:10.1145/3345252
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • UORB: University of Ruse, Bulgaria

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2019

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. R programming language and environment
  2. business intelligence
  3. informatics students

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

CompSysTech '19

Acceptance Rates

Overall Acceptance Rate 241 of 492 submissions, 49%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)5
  • Downloads (Last 6 weeks)1
Reflects downloads up to 13 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Delivering a Business Analytics Course Focused on Data Mining for Both Technical and Non-Technical StudentsJournal of Information Systems Education10.62273/MWCG1518(86-98)Online publication date: Jan-2024
  • (2024)Examining Essential Factors on Student Performance and Satisfaction in Learning Business AnalyticsInformation Systems Education Journal10.62273/JBVL206422:4(48-61)Online publication date: 2024
  • (2024)Drivers of Student Learning Success in Business Analytics: A Model Investigating Learning Outcomes and IntentionsJournal of Information Systems Education10.62273/FGLP822535:4(512-524)Online publication date: Nov-2024

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media