Abstract
The application of big data analytics on data and any information collected, enables mobile operators to profile customers, depending on the historical and real time habits at certain locations and times. The results generated of big data analytics and carried by mobile operators can improve network performance, improve product offering, advance marketing strategies, a better customer experience and increase the revenue generated. It is with no doubt that big data analytics will create more opportunities to grow the economy, however, there are also challenges that come along with the opportunities. Data exposed to organisations, individuals and the community at large, could result in the violation of privacy rights. Big data analytics privacy risks are making it a challenge for big data benefits to be fully realised. As a result, all challenges that are brought by big data analytics privacy risks need to be addressed for all the benefits of big data to be realised. In order for organisations to be able to manage privacy risks, there needs to be an identification, root cause and assessment of these. There is a need for a standardised privacy risk assessment model to guide practitioners or project managers to manage privacy risks of big data analytics. This research study aimed to identify the cause of privacy risks during big data analytics operations and thereafter, develop a privacy risk identification model to assist in managing privacy risks...
M.Ing. (Engineering Management)