Financial Portal Development with Data Analytics and Visualization

Our fintech application development team delivered a custom financial portal that pulled large amounts of financial information from the customer’s database and visualized it comprehensively. The visualized data in the form of diagrams, maps, and images became available for end users via a paid subscription.

The application was developed with the ASP.NET framework and the MVC architectural pattern, while the business logic was implemented in C#. 

The customer’s database aggregates financial data from 10+ thousands of organizations and serves as a centralized source of data for further analysis and visualization. Since the volume of collected data reached billions of records, the customer needed a tried-and-true technology that was scalable and reliable enough for large data sets. 

Taking into consideration the customer’s existing technology stack, Iflexion chose Microsoft SQL Server for data storage, integrating the solution with the database using ADO.NET and NHibernate. As a result, the application doesn’t use raw data but imports the data pre-analyzed by dedicated editors and presented in tables.

The solution performs data rendering, analysis and visualization. As part of financial portal development, our team implemented multiple types of data presentation, including diagrams (for example, SSA data, deal timelines, credit rating changes, and the national debt graph) as well as the world maps with color-differentiated data. The Microsoft Chart library enables data visualization in charts. 

While the customer’s in-house team created the graphic design for the financial portal, Iflexion was responsible for the design review and implementation, as well as user experience enhancements. We used the jQuery library as the main UI/UX development technology. 

Our team also developed several features from scratch for a more engaging portal experience and easy navigation:

• Interactive maps, so that by clicking on a country, users could see its market summary
• Data blocks, which can be expanded into popup boxes with more details
• Built-in zoom
• Filters for sorting data sets

Once subscribed, end users can personalize data and its visualizations. For example, they can choose the most important data sets and rearrange data blocks as they like. To customize pages, users can add or delete data boxes, move and resize the boxes using the drag-and-drop feature, as well as filter out the information inside data blocks.