Category - Brian BARNARD

This part of the study continues the literature review conducted, and empirically addresses the research questions raised, in the preceding part of the study: Success factors of big data to achieve organisational performance: Theoretical perspectives. Overall, the focus is on the success factors of big data from an organizational context: how and when big data analytics capabilities yield benefits and improve organisational performance. The research questions that were addressed are: 1. What is the general understanding of big data and its current situation? 2. What capabilities are required in order to be successful at translating big data insights into organisational performance? 3. What are the biggest challenges/ risks to converting big data insights into organisational performance? The methodology was qualitative and exploratory, using semi-structured interviews to have in-depth discussions with big data employees at varying job levels to ascertain the success factors and...

Organisations have found an increase in the complexity of their information environments and emerging from this is the concept of “Big Data”, which is considered a breakthrough technological development in both business and academia. Hypothetically, superior big data analytics capability provide organisations with a competitive advantage and is therefore important to develop. This part of the study conducts a comprehensive literature review, with a focus on the success factors of big data from an organizational context: how and when big data analytics capabilities yield benefits and improve organisational performance. It concludes with the following research questions: 1. What is the general understanding of big data and its current situation? 2. What capabilities are required in order to be successful at translating big data insights into organisational performance? 3. What are the biggest challenges/ risks to converting big data insights into organisational performance?