Exploring the mindsets and behaviours necessary for cultivating data-driven decision making within an organisation

Abstract

The advancement of data storage and processing technologies and the exponential growth in data generated by online activity and smart devices has stimulated a desire by organisations to be more data-driven in their decision making. Adopting a data-driven approach to decision making is associated with improved organisation performance and innovation. However, most organisations are struggling to realise these benefits because crafting clear data use strategies and cultivating a culture of data-driven decision making appears to be more challenging than investing in relevant technologies or implementing organisational processes. Given this situation, the purpose of this study is to investigate the mindsets and associated behaviours of leaders and their teams who are successfully leveraging data to improve market competitiveness or impact. Using a qualitative research strategy and semi-structured interview processes with six experienced professionals, this research paper identifies six mindsets and associated behaviours that senior decision makers should adopt to help overcome the common people related challenges that hinder effective data-driven decision making in organisations. Prime examples include senior leaders as data advocates who communicate and reflect of data-driven decisions and leaders who encourage quick experimentation with an openness to failure. Based on these findings the study recommends that senior decision makers, working in organisations that have invested in data related technologies and skills, acknowledge that their attitudes and behaviours have a direct impact on how successful any data strategy and investment will be. These influential leaders or managers need to understand and believe in the data- driven decision making process and they need to ensure the implementation of key activities that ensure informed actions are eventually taken on the back of data collected. Research in this field mostly predominantly discusses issues related to numerical techniques, technological innovations and studies around impact. This study contributesto the current body of knowledge by investigating leadership and managerial aspects of data use or Big Data in organisational decision making