Risk-Driven Analytics for Banking IoT Strategy

  • F. KhanboubiEmail author
  • A. Boulmakoul
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 266)


New communication technologies have a significant impact on the management of banking activities and strongly influence their ecosystem. Key innovations include big data analytics, artificial intelligence, data science, digital currency, social media, blockchain and the Internet of Things (IoT). Many of these technologies are interdependent. IoT is the interconnection of uniquely identifiable integrated computing devices within the infrastructure of the surrounding computer network. In the field of banking services, the interconnection of those integrated equipment should allow the automation of several legacy processes. As the digital transformation driven by IoT begins to take root, new business models and products emerge. This opens new frontiers for innovation that can change customer behavior in the banking industry. The objective of this chapter is to highlight and illustrate the different uses of IoT in banking. We also analyze the impact of digital risks based on the Internet of Things on the traditional banking processes. It would be of interest to bring together the different types of digital risks that have a similar impact on bank’s processes. We analyze those technologies to implement the digital transformation using new practices. We develop an approach based on a bipartite graph associating the processes and risks of the banking sector. From this, we deduce a strategy to safely lead the integration of connected objects into the banking industry.


Internet of Things Bank Digital risks Digital strategy Galois lattice Fuzzy concept Process modeling Holistic analytics 


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Authors and Affiliations

  1. 1.LIM Laboratory, IOS, Department of Computer Science, FSTMHassan II University of CasablancaMohammediaMorocco

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