Technology is creating considerable disruption and transformation in the financial sector. Treelogic, as an intensive R&D company, is making its knowledge, skills and experience in innovation available to the main players in this field.
We focus on the processes of digital transformation necessary to satisfy the needs of the increasingly demanding clients of financial and insurance companies, who expect a new type of relationship and communication with their service providers.
Using our Big Data & Analytics experience and knowledge we are able to propose best-fit technologies for each use case.
We deal with every stage in data processing and analysis projects: design, selection of technology, construction of architecture, deployment of environments and development of analytical use cases.
Customer support by professionals who are experts in advanced technologies, with experience in both R&D activity and innovative projects.
Design of system structures adapted to the requirements of massive data processing; volumetry, performance, security, etc.
Analysis, design and implementation of the best solution to meet the needs of specific business use cases identified by the customer.
SERIF is a family of solutions for fraud detection, analysis and investigation in banking and insurance companies, which uses Big Data and Data Science technologies to enable the analysis of large volumes of data and optimize the results.
This tool models all the data existing in the company, permitting the visualization of different types of relationships. An interactive interface facilitates the investigation of insurance claims pertaining to traffic accidents, people or assets, as well as the discovery of potential fraud networks.
Classification of transactions, study of relations between internal data, enrichment from external sources (social media, webs, open data, etc.), identification of behavioural patterns.
Prediction of customer lifetime value (CLV), churn models, purchase propensity and prediction of specific behaviours (e.g. whether a loan is going to be cancelled).
Personalized recommendations and cross-selling to improve customer experience, based on historical information combined with spatio-temporal trends.
Contact us, we'll be happy to see how we can help you.