engleski

Transformation Into Digitally Analytical Controlling: Current Status and Future Agenda

Today's constantly and rapidly changing digital environment enables companies to use large amounts of data but also pressures them to target technologies and methods able to process them for effective and efficient decision- making. Because of the variety of data, the competitive advantage of companies is more than ever dependent on making right decisions upon data and information quality. Controlling, as one of the globally recognized functions which contributes not only to efficient decision- making but to the overall company’s performance, is like many other functions facing the challenges that the new digital era is bringing. In order to be able to deliver adequate information related not only to past but predicted future, controllers need to embrace new digital techniques and methods. The purpose of this paper is to indicate the importance of the new digital age on the controllers’ role as „business partner“. This study is motivated by the so far infancy level of academic work examining the effects among digital technology and controlling. The aim of this paper is to explore relevant recent literature, to emphasise the importance of the impact that new technologies have and will have on controlling, and to shed light on this subject matter. Accordingly, a desk research methodology was used. Hence, this paper first defines the difference between four concepts to whose application researchers in the field of controlling are giving more attention in last years: Big Data, Business Intelligence (BI), Business Analytics (BA) and Business Intelligence and Analytics (BI&A). Further, a critical review on the so far emphasised relationship of the four concepts and controlling is given, along with related research among the field of information science. In the end, suggestions for future research are given through postulated research questions, as well the emphasised call for advanced multivariate methods use.

Controlling, decision-making, Big Data, BI&A

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