Customizable Financial App Interface for Personalized Budgeting
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Solution Overview
Problem
There is a need for customizable financial institution applications that allow users to create unique interfaces based on their specific requirements, incorporating their financial data and comparisons with similar peers, which existing applications do not adequately address.
Innovation Solution
A system and method for developing a customizable financial institution application that allows users to input their financial data, access data from financial institutions, and compare it with peer data, using a processing device to create a tailored interface for budgeting, financial goal tracking, and account management, enabling users to select templates or customize the format as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing financial applications are used, then basic financial information access is provided, but customization and personalization capabilities are insufficient
Solution Approach 1:
The application interface dynamically adapts to user needs by allowing customization of displayed information, charts, and layouts. Users can modify the interface elements based on their personal financial priorities and preferences, making the system flexible rather than static.
Solution Approach 2:
The application allows users to segment their financial data into different categories and display only the relevant information they need. Users can select specific accounts, time periods, and data types to customize their view, reducing clutter and focusing on important financial metrics.
2Measurement precision
If comprehensive financial data is accessed and processed, then detailed financial analysis is enabled, but data processing time and system resources increase
Solution Approach 1:
Instead of processing all available financial data, the system processes only the necessary subset of data required for the user's customized analysis. Users can select specific time ranges, account types, and data categories, reducing the processing volume while maintaining analysis accuracy for the selected parameters.
Solution Approach 2:
The system pre-processes and organizes financial data into structured formats and categories before user queries are made. This preliminary organization allows for faster retrieval and processing of specific data needed for analysis, reducing real-time processing time.
3Adaptability or versatility
If peer comparison data is integrated, then contextual financial insights are provided, but data privacy and security concerns increase
Solution Approach 1:
Instead of sharing actual personal financial data with third parties, the system uses anonymized and aggregated data to create peer comparison profiles. These copies contain only statistical summaries and trends, not identifiable individual information, reducing privacy risks while maintaining comparison functionality.
Solution Approach 2:
The system introduces an intermediary layer of aggregated and anonymized data between the user's personal financial information and the peer comparison data. This intermediary layer allows for contextual insights without directly exposing sensitive personal data to external sources or other users.
Data Source
AI summary
Embodiments of the invention are directed to a system, method, or computer program product for a customizable financial application. This invention allows a user to customize an application, such as an application for a mobile smart phone, to display information or perform actions using data stored by a financial institution, including data about the customer and more general financial data.