Data Driven Decision Making

Sammanfattning: Decision making is one of the most critical tasks that can have an impact on organisations’ performance. To rely on decisions, organisations need to consider effective decision making. Hence to make effective decisions, most organisations are moving towards data driven deci-sion making with the aim to increase profits and reduce costs that can lead them to a compet-itive advantage. However, adopting and implementing data driven decision making has been a challenge for most organisations resulting in high failure rate in implementation of data driven decision making. This paper identifies and describes organisational factors that are influential in the implementation of data driven decision making. A qualitative research us-ing seven semi-structured interviews with data analytics consultants and decision makers was conducted. The conclusion shows that management support, availability of skills, change management, organisational size, industry or sector, perceived value, organisational culture and organisational structure and processes are factors that have an impact in the adoption and implementation of data driven decision making. Thus, these findings can be used by other researchers as a reference for further research on the topic.