University of Twente Student Theses


Smart KPI-ORIENTED decision support Dashboard for measuring the Digital Transformation success

Dias, V.M. (2021) Smart KPI-ORIENTED decision support Dashboard for measuring the Digital Transformation success.

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Abstract:Recent research shows that digital transformation can be a source of competitive advantage and impact organizational success. Companies are using technology and digitalization to transform their business strategies and achieve their goals. Despite enormous transformation efforts, the expected productivity gains are often missing in most companies. In addition to this, some companies are uncertain about the future direction of their digital transformation process. This shows that there is a lack of understanding by companies on how to measure digital transformation success. One of the decision-making tools is the dashboard comprising of Key Performance Indicators (KPIs) that give important insights closely aligned with the strategy. The challenge is that the major works or initiatives are focused on digitization, decision-making models, or dashboard design. Additionally, the KPIs for digital transformation described in the literature are domain-specific. This indicates that research on defining specific criteria or metrics for measuring digital transformation success is limited and varied. As a result, the main objective of this research is to identify digital transformation KPIs, as well as decision-making techniques, and then construct a transformation dashboard prototype that may assist companies in developing a plan and tracking their progress. This research is carried out in collaboration with INPAQT B.V, an organization that specializes in providing AI-supported Decision Support Systems to resolve complex decisions in a fast-changing environment in the field of Business Analytics including areas of Customer analytics, HR Analytics, and Medical Diagnostics. INPAQT intends to facilitate these organizations to gain the best insights and analyze the situation effectively and identify the things to act upon and streamline workflow. To summarize, this research first explores various key performance indicators and decision-making approaches that can effectively close the gap and highlight the requirements for an intelligent digitalization dashboard. Based on these research gaps, a conceptual framework is created, that is further used as a baseline framework for dashboard implementation. Finally, a KPI-oriented dashboard prototype is designed. Furthermore, two expert interviews conducted as part of the evaluation process indicated that the artifact's results meet the thesis's main research objective.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 85 business administration, organizational science
Programme:Business Information Technology MSc (60025)
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