Since 2020, the Central Bank of Brazil has been working to establish a new way of intercommunication between banks, companies and customers, via the platform called Open Finance Brasil.
Traditionally, banks have always been very secretive when it comes to the storage of their customers data, and now there is a new paradigm that will generate endless possibilities for the integration and creation of new products and services.
As a way of analyzing the amounts charged for various services among Open Finance participants, we have the challenge of presenting, in an intuitive and fluid way, a price comparison tool using the data provided through Open Finance.
The goal of the project is to develop a price comparison tool that utilizes the data provided via Open Finance, and for said data to be presented in an intuitive and fluid manner for the user.
The main features of the project are as follows:
- A panel for checking the rates of products/services in the following categories: Banks, products/services, currencies, fees, range, rates
- A ranking dashboard which contains the following categories: bank with lowest, highest fees; timeline of the average of a tariff with trend; top five banks with lowest fees over a period.
- A tariff price comparison tool where the user can compare the prices of: products/services, banks, currencies.
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Website response time must be below 1000ms in 99.99% of requests.
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The system must contain metrics that help to observe its behavior: Number of requests, response time, Number and percentage of failures when obtaining data from Golden Sources.
Our platform has many benefits, such as being able to compare the price of tariffs of banks, the value of currencies and products and services. Moreover it also allows the user to check the rates of services and products such as fees, currencies, rates and much more.
Additionally, the platform also has a ranking dashboard in which the user can check rankings such as the top five banks with lowest fees over a period of time and the bank with the lowest or highest fees.
| Deliveries | Situation | Development Period | Client Release | Server Release | Scraper Release | Sprint |
|---|---|---|---|---|---|---|
| Sprint 01 | Finished | 13/03 to 02/04 | ||||
| Sprint 02 | Finished | 03/04 to 23/04 | ||||
| Sprint 03 | Finished | 24/04 to 14/05 | ||||
| Sprint 04 | Finished | 15/05 to 04/06 |
 André Silva Product Owner |
 Barbara Bidetti Scrum Master |
 Elias Ferreira Development Team |
 Higor Mariano Development Team |
 Juliane Freitas Development Team |
 Pedro Ferreira Development Team |
 Thomas Palma Development Team |
| Technologies | Goal |
|---|---|
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Elaboration of the interactive prototype, with the purpose of developing ideas and carrying out the simulation of functionalities. |
| JavaScript framework used on the front-end for developing user interfaces and single-page applications. |
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Programming language used on the front-end to help developing large scale web applications. |
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Spring is a framework for Java that facilitates creation using independent modules. |
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Manage and manipulate the data necessary for the application to function, such as storing financial institutions and services. |
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Programming language used on the AI for machine learning with data analysis, regression and web development. |
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Python-friendly open-source library for numerical computing, used on the AI for machine learning. |
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Scikit-learn is an open source machine learning library for the Python programming language, used on the AI for machine learning. |
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Object oriented programming language used on the server-side, enabling the creation of dynamic, platform-independent method for building web-based applications. |
These are initial sketches for understanding the platform
This is our prototype in Figma! It represents what the application should look like in its final form, and all developers should adhere to the details presented as closely as possible.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent