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SIRPSS - Sustainable Industrial Site Redevelopment Planning Support System Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Skills and Mindsets for an Analytically Innovative Organisation

Authors : Yusuf-Ali Karbelkar, Mike Hart

Published in: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Publisher: Springer International Publishing

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Abstract

Much research has been carried out on factors influencing acceptance, success, and pervasiveness of business intelligence (BI) and analytics in organisations. This study focusses on the range of skills/competencies, and attitudes/mindsets, which can lead to an organization becoming sustainably data-driven and innovative through BI and analytics (BI&A). Following a literature review, business managers, users and creators of BI&A systems in South Africa were interviewed about the contribution of skills and mindsets to pervasive BI&A. Thematic analysis of the conversations uncovered five main themes: Good Communication, Prioritization of BI, Different Skillsets, Adopting BI&A, and Hunger for BI&A, all with sub-themes. Many of the important skills and mindsets were shown to be common to BI&A practitioners, as well as to their users and management.

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Literature
1.
Kiron, D., Prentice, P.K., Ferguson, R.B.: The analytics mandate. MIT Sloan Management Review, Research report, Reprint 55480, 1–22 May 2014
2.
Ransbotham, S., Kiron, D.: Analytics as a source of business innovation. MIT Sloan Management Review, 2017 Data and Analytics report, pp. 1–22, 28 February 2017
3.
Bijker, M., Hart, M.: Factors influencing pervasiveness of organisational business intelligence. In: BUSTECH 2013, 3rd International Conference on Business Intelligence and Technology, pp. 21–26 (2013)
4.
Grublješič, T., Jaklič, J.: Business intelligence acceptance: the prominence of organizational factors. Inf. Syst. Manag. 32(4), 299–315 (2015)CrossRef
5.
Kappelman, L., McLean, E., Johnson, V., Torres, R., Nguyen, Q., Maurer, C., Snyder, M.: The 2016 SIM IT issues and trends study. MIS Q. Exec. 16(1), 47–80 (2017)
6.
7.
Davis, F.: Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)CrossRef
8.
Rogers, E.M.: Diffusion of Innovations. Free Press, New York (1995)
9.
Howson, C.: Successful Business Intelligence, 2nd edn. McGraw Hill Education, New York (2014)
10.
11.
Olszak, C.: Toward better understanding and use of business intelligence in organizations. Inf. Syst. Manag. 33(2), 105–123 (2016)CrossRef
12.
13.
Eckerson, W.W.: TDWI’s Business Intelligence Maturity Model. TDWI, Chatsworth (2009)
14.
Cao, L.: Data science: a comprehensive overview. ACM Comput. Surv. (CSUR) 50(3), 43 (2017)CrossRef
15.
Cegielski, C.G., Jones-Farmer, L.A.: Knowledge, skills, and abilities for entry-level business analytics positions: a multi-method study. Decis. Sci. J. Innov. Educ. 14(1), 91–118 (2016)CrossRef
16.
de Jager, T., Brown, I.: A Descriptive categorized typology of requisite skills for business intelligence professionals. In: SAICSIT 2016: Proceedings of the Annual Conference of South African Institute of Computer Scientists and Information Technologists, pp. 1–10. ACM (2016)
17.
De Mauro, A., Greco, M., Grimaldi, M., Ritala, P.: Human resources for big data professions: a systematic classification of job roles and required skill sets. Inf. Process. Manag. 1–11 (2017, in press)
18.
Debortoli, S., Müller, O., vom Brocke, J.: Comparing business intelligence and big data skills. Bus. Inf. Syst. Eng. 5, 289–300 (2014)CrossRef
19.
Deng, X.N., Li, Y., Galliers, R.D.: Business analytics education: a latent semantic analysis of skills, knowledge and abilities required for business versus non-business graduates. In: 37th International Conference on Information Systems, Dublin, pp. 1–14 (2016)
20.
Wixom, B., Ariyachandra, T., Douglas, D., Goul, M., Gupta, B., Iyer, L., Turetken, O.: The current state of business intelligence in academia: the arrival of big data. Commun. Assoc. Inf. Syst. 34(1), 1–13 (2014)
21.
Kulkarni, U.R., Robles-Flores, J.A., Popovič, A.: Business intelligence capability: the effect of top management and the mediating roles of user participation and analytical decision making orientation. J. Assoc. Inf. Syst. 18(7), 516–541 (2017)
22.
Marshall, A., Mueck, S., Shockley, R.: How leading organizations use big data and analytics to innovate. Strategy Leadersh. 43(5), 32–39 (2015)CrossRef
23.
Vidgen, R., Shaw, S., Grant, D.B.: Management challenges in creating value from business analytics. Eur. J. Oper. Res. 261, 626–639 (2017)CrossRef
24.
Boyton, J., Ayscough, P., Kaveri, D., Chiong, R.: Suboptimal business intelligence implementations: understanding and addressing the problems. J. Syst. Inf. Technol. 17(3), 307–320 (2015)CrossRef
25.
Yeoh, W., Koronios, A.: Critical success factors for business intelligence systems. J. Comput. Inf. Syst. 50(3), 23–32 (2010)
26.
Carillo, K.D.A.: Let’s stop trying to be “sexy” – preparing managers for the (big) data-driven business era. Bus. Process Manag. J. 23(3), 598–622 (2017)CrossRef
27.
Chiang, R.H., Goes, P., Stohr, E.A.: Business intelligence and analytics education, and program development: a unique opportunity for the information systems discipline. ACM Trans. Manag. Inf. Syst. (TMIS) 3(3), Article No. 12, 1–13 (2012)
28.
29.
Davenport, T.H., Harris, J.G., Morison, R.: Build an analytical culture. In: Analytics at Work, pp. 137–147. Harvard Business School Publishing Corporation, Boston (2010)
30.
Popovič, A., Hackney, R., Coelho, P.S., Jaklič, J.: Towards business intelligence systems success: effects of maturity and culture on analytical decision making. Decis. Support Syst. 54(1), 729–739 (2012)CrossRef
31.
Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(1), 77–101 (2006)CrossRef
32.
Fereday, J., Muir-Cochrane, E.: Demonstrating rigor using thematic analysis: a hybrid approach of inductive and deductive coding and theme development. Int. J. Qual. Methods 5(1), 80–92 (2008)CrossRef
Metadata
Title
Skills and Mindsets for an Analytically Innovative Organisation
Authors
Yusuf-Ali Karbelkar
Mike Hart
Copyright Year
2018
Book
Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Print ISBN: 978-3-319-90314-9

Electronic ISBN: 978-3-319-90315-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-90315-6_9

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