Big Data Driven Decision Making Guidelines for South African Banking Institutions

This study developed guidelines to support the incorporation of big data analytics into the decision-making process. This study was conducted within the banking sector of South Africa, with participants from three leading South African banking institutions. The conducted research followed the design science research process. A proof of concept was undertaken where the developed guidelines were tested using a test questionnaire. The criteria the guidelines were tested against was that they are supported with evidence; supported with a discussion of the benefits; easy to follow; effects of the guideline will be seen quickly and compatible with existing norms and values in practice. The result was a list of guidelines that received an agreeable response. The guidelines were developed to provide support to banking organizations that have middle level big data maturity. The adoption of the guidelines can assist banking institutions to achieve a high-level of big data maturity.