A leading financial institution in its geographical region

ATM channel shortage monitoring model.


Our client is a universal financial services entity and a leader in its geographical region. Like the entire sector, and in its process of continual optimisation of its ATM channel management, it is developing monitoring models for its fraud management.

At Bluetab Peru we have worked with them on development of a model to enable anticipation of “critical shortages” in the agency cash machine tables and to segment the operational risk into its source axes (internal fraud, operational errors or technical faults) and so generate various levels of management alerts for different areas.

Our client has managed to provide its business users with a monitoring system capable of optimising, among other aspects, the level of effectiveness of the fraud detection model in the shortages, those that generate complaints, those that are repetitive and those produced by technical faults. We continue to work with them to make improvements and to carry out new projects in the area and the expectation is that we will extend the model to several geographic regions.

SUCCESS STORIES

ATM channel shortage monitoring model. Our client is a universal financial services entity and a leader in its geographical region. Like the entire sector, and in its process of continual optimisation of its ATM channel management, it is developing monitoring…

50% optimisation of AWS costs.Our client is a multinational leader in the energy sector with investments in extraction, generation and distribution, with a significant presence in Europe and Latin America. It has undertaken a major digital transformation process in recent…

Project for the Customer Experience area of ​​a Telco operator. Preparation and quantitative and qualitative analysis of customer surveys to determine the basic indicator of customer experience with the company and its services.The Bluetab Data Scientist team designed an automatism…

Design of the predictive model of Web Frauds carried out by Bluetab for a leading financial institution in the Spanish marketIt consists of developing a predictive algorithm capable of classifying browsing sessions according to their similarity to sessions in which…

As a follow-up to the technological strategy of one of the leading financial institutions, a machine learning algorithm is implemented to predict and prioritize the best offering mix to propose to customers, with the aim of increasing cross-selling and linking…