Mobirise alternative

BANKING AND INSURANCE

We accompany financial entities and insurance companies in their digital transformation, contributing with our knowledge in advanced technologies such as Big Data, Data Science and Computer Vision.

  • APPROACH
  • PORTFOLIO
  • USE CASES
  • CUSTOMERS

OUR APPROACH

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. 

1

SPECIALIZATION


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.

2

TECHNOLOGY


Using our Big Data & Analytics experience and knowledge we are able to propose best-fit technologies for each use case.

3

END-TO-END

 
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.

WHAT DO WE OFFER?

Services

EXPERT PERSONNEL

Consultancy and professional services

Customer support by professionals who are experts in advanced technologies, with experience in both R&D activity and innovative projects.

ARCHITECTURE

Development of Big Data architectures

Design of system structures adapted to the requirements of massive data processing; volumetry, performance, security, etc.

BUSINESS USE CASES

Analysis, design and implementation

Analysis, design and implementation of the best solution to meet the needs of specific business use cases identified by the customer.

WHAT DO WE OFFER?

Solutions

TECHNOLOGICAL SOLUTIONS FOR FRAUD DETECTION AND ANALYSIS

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.

ANALYSIS OF DIGITAL FILES 

This solution detects inconsistencies or alterations in the structure, content and the format of files, which generates alerts associated with signs of fraud (tampering with documents or images, inconsistencies in dates, locations or authorship of documents, etc.).

RELATIONS BETWEEN INTERNAL DATA

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.

ANALYSIS OF INTERNET INFORMATION

Through its analysis of publicly accessible information available on the internet, this solution is able to enrich a company's internal data, which is often of low quality and incomplete, with external data of relevance.

USE CASES SCENARIOS

ANALYSIS

Classification of transactions, study of relations between internal data, enrichment from external sources (social media, webs, open data, etc.), identification of behavioural patterns.

PREDICTION

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).

RECOMMENDATION

Personalized recommendations and cross-selling to improve customer experience, based on historical information combined with spatio-temporal trends.

SHALL WE TALK?

Contact us, we'll be happy to see how we can help you.