Enterprise Analytics Adoption Model: An exploratory study in transforming an organization towards analytical competitor

Enterprise Analytics Adoption Model: An exploratory study in transforming an organization towards analytical competitor

Natadarma, M.R.

Van den Berg, J. (mentor)
Kwee, Z. (mentor)
Penne, O. (mentor)

Technology, Policy and Management

Information- and Communication Technology

Management of Technology

2012-09-28

Business Intelligence- and Analytics solutions offer business users to gain a competitive advantage against their peers in the dynamic economic situation. A compelling characteristic of an enhanced BI-solution is distinguished by the adoption of advanced Analytics in business activities to obtain information more easily, to gain more insights in company’s data, and to get more timely and better decision-making support. However, many organizations are still reluctant to adopt Analytics in their organizational structure, culture and mainly to carry out their business activities. For organizations that tend to have corporate culture based on silos, the implemented Analytics are not yet efficiently and effectively utilized and they tend to have concerns in data governance across organization. During the execution of the research project, the common Analytics adoption process was explored and subsequently an Enterprise Analytics adoption model, or denominated as the ADOPT-model, was developed. The conceptual model was designed to provide an overall overview and guidelines for organizations to pamper their Analytics initiatives emerged across various functional units. A holistic approach at the enterprise level has been opted to achieve a consistency of effectiveness across business units within an organization by focusing on the four organizational elements, i.e. structure, process, people, and technology. Accordingly, the main research question was formulated as follows: “how to transform an organization towards an analytical competitor?”. The conceptual ADOPT-model was designed to provide a better representation of the exploration study, as well as to structure the research findings in answering the research (sub-)questions. A research framework was built to provide a systematic and a clear overview for the execution of research project. Desk research and literature study were carried out in the early stage of project execution; subsequently a primary data was collected by conducting qualitative interview sessions with the field experts and relevant stakeholders. All data gathered was analyzed by utilizing the Applied Thematic Analysis approach and a thorough analysis results were explained by illustrating various key nodes and relationships of the themes in the thematic networks. The reflections on the research findings, the quality of the results, as well as a brief reflection on the entire process, were reported. Finally, the conclusions drawn from the data analysis and the recommendation for practitioners were formulated, and then followed by the limitation of the research and the direction for possible further research at the end of this thesis.

(enterprise) analytics
predictive analytics
business intelligence
business operating model
competitive advantage

http://resolver.tudelft.nl/uuid:1b23e5f6-63f5-4c41-8819-18a05a3228d4

2012-09-28

Student theses

master thesis

(c) 2012 Natadarma, M.R.