Risk Management In Analytics Solutions Integration and Deploy: Case Study In A Brazilian Financial Institution

The research seeks to propose a risk management approach for the main risks identified in the integration and implementation of Analytics solutions in a large banking institution in Brazil. Various approaches and techniques were applied during the development of the research. Among them: construction of the SIPOC matrix, survey of the main risks from the literature, validation of risks via semi-structured interviews and application of the FMEA (Failure Mode and Effect Analysis) technique to prioritize risks and manage priority risks. The results indicated that by managing the 3 highest priority risk events, it is basically possible to mitigate the risks with medium, high and higher risk indexes (RPN) of the process. Such risks are associated with talent retention and training, lack of alignment between clients proposing solutions and recurring changes in the scope of projects. Project managers in Analytics should assess whether their integration / implementation processes foresee preventive, corrective and / or mitigating actions for the associated risk events foreseen in the discovery of this research. Although the theme of Analytics has dominated discussions about innovation and how to obtain the potential value of data in different sectors of the economy, including banking, there are very few studies that have evaluated the data integration process so far. and deploying (deploying) Analytics solutions and their main obstacles and risks to achieve the purpose of reducing the time to put an analytics solution on the air.