NPS

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 for the extraction and processing of the sample databases and the subsequent collection, processing and analysis of customer responses. For this, SPSS migrated to R and Python, Spider, database treatment in SQL was used in the first versions to continue with the preparation of the introduction of survey results carried out with AI.

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…