A Data Platform to Support Decision Making for Banca Finint
Banca Finint, established in 2014, specializes in activities related to Debt Capital Markets (minibonds and specialized lending) and the structuring and management of securitization, covered bond and structured finance transactions, in advising on extraordinary finance transactions, and in the implementation of basket bond transactions.
CUSTOMER NEEDS
Banca Finint expressed the need to equip itself with a Data Platform with the objective of centralizing, normalizing and analyzing business data and, thus, enabling self-service BI logics by business stakeholders.
The required solution had to have modular characteristics, as it was initially needed to address the specific information needs of key users engaged in securitization transactions, and then expand to other business functions.
To ensure effective adoption and optimal use of the platform on multiple levels (business and IT), the project was carried out according to a “training on the job” approach that involved constant collaboration between the two teams (beanTech and Finint) involved in the project.
Data Platform design and implementation for Banca Finint: from needs analysis to configuration.
After an initial analysis phase functional to define in detail the information needs of the business and the current IT and application scenario of Banca Finint, we were responsible for the design of the Data Platform based on Microsoft technology.
Following these initial steps, implementation activities were carried out with the Client’s team, specifically:
- Preparation of the environments and cloud services necessary for the development of the platform;
- Development of the ETL flows, Datawarehouse, Data Model and Analytics;
- Configuration of roles and security for access to the platform layers by Finint Bank’s IT and business users.
The main features of the implemented system are:
MODULARITY: The platform is easily extendable, allowing it to cover the information needs of all business functions and business stakeholders.
SECURITY: Users can independently manage data analysis and analytics creation, subject to company policies governing access to information.
EFFICIENCY: By automating several manual operations, the platform reduces data access time and minimizes the risk of errors.
CLOUD READY: The platform is ready for rapid migration to the cloud without architectural or technological constraints.
IMPROVE THE QUALITY OF BUSINESS DECISIONS
How? Take a look at the Bank Finint case study and learn about the features and benefits of the beanTech Data Platform.