Towards Managerial Support for Data Analytics Results

  • Uroš Bole, Slovenia
  • Gregor Papa Jožef Stefan Institute, Ljubljana, Slovenia
Keywords: Data, analytics, data mining, collaboration, support, stakeholder


Studies of analytics integration management have largely focused on executive-led analytics at the enterprise level. However, in most organizations analytics initiatives do not enjoy executive support at the outset. Top management must first be convinced of the benefits, which slows down the path to competing via analytics. To successfully win top management support for broader analytics implementation an analytics pioneer should achieve five key aims: patiently build trust, manage interdisciplinary collaboration, focus on the problem solving action, facilitate the process, and importantly provide strong support to the embryonic analytics initiative. This is demonstrated through multiple-case study, presented in this paper. In embryonic analytics initiatives, the analytics champion appears locally, at mid-management level, and is up against the complex task of overcoming the resistance of an established organization, with its existing people, processes, data, technology, and culture. We examined what could be learned about the management of people-related issues in embryonic analytics processes. We studied the approaches used and lessons learned by all significant groups of stakeholders with the aim of helping managers show the value of analytics to their executives and colleagues.

Author Biographies

Uroš Bole,, Slovenia

Uroš Bole, obtained his B.Sc. in Applied Mathematics and Economics from Brown University (1996), MBA from IESE Business School (2000) and a Ph.D. from Jožef Stefan International Postgraduate School (2013). His Ph.D. research revolved around the integration of data mining in organizations. His research interests span interdisciplinary collaboration, systemic thinking, business process reengineering,organizational learning, and process consultation. He is aco-founder of a startup providing data mining and stochastic optimization solutions, and an owner of, a platform for exchange of ideas.

Gregor Papa, Jožef Stefan Institute, Ljubljana, Slovenia

Gregor Papa, is a senior researcher at the Jožef Stefan Institute, Ljubljana, Slovenia and an Associate Professor of Computer Science at the Jožef Stefan International Postgraduate School, Ljubljana, Slovenia. He holds B.S. (1997), M.Sc. (2000) and Ph.D. (2002) degrees from the Faculty of Electrical Engineering, University of Ljubljana. His current research interests include optimization techniques, metaheuristic algorithms, and hardware implementations of high-complexity algorithms. His work is published in several international journals and conference proceedings.


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