Economic Indicator Generation via Aggregated Financial Data
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Solution Overview
Problem
Businesses and government entities face challenges in generating accurate and comprehensive economic indicators due to limitations in existing methods, which often rely on incomplete or outdated data sources, such as surveys and samples, making it difficult to make informed policy and investment decisions.
Innovation Solution
A system and method for generating economic indicators by aggregating financial data from multiple sources, including business and personal financial management applications, to provide timely and reliable insights into consumer spending trends, productivity, import/export balances, and other economic metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional survey and sample methods are used to generate economic indicators, then data collection complexity is reduced, but measurement precision and reliability of economic indicators deteriorate
Solution Approach 1:
The patent combines multiple existing financial data sources (banking systems, credit card companies, investment firms, insurance companies) into a unified economic indicator generation system. By merging these diverse data sources that already exist in the financial infrastructure, the system achieves comprehensive and accurate economic data collection without adding significant complexity, as the data is aggregated from sources that already operate independently.
Solution Approach 2:
The system leverages data that financial institutions already collect and maintain for their own operational purposes. These institutions continuously gather financial data as part of their core business operations, so the economic indicator system benefits from this pre-collected data without needing to build separate data collection infrastructure, thereby improving accuracy while minimizing additional complexity.
2Reliability
If comprehensive data from multiple sources is aggregated, then reliability of economic indicators improves, but data processing complexity increases
Solution Approach 1:
The patent divides the data aggregation system into distinct functional modules, each handling specific types of financial data from different sources (banking data module, credit card data module, investment data module, insurance data module). Each module processes and validates its specific data type independently before contributing to the overall economic indicators, which manages complexity through modular design while maintaining comprehensive data aggregation.
Solution Approach 2:
The system introduces a central data aggregation and validation layer that acts as an intermediary between various financial data sources and the economic indicator generation process. This intermediary layer standardizes data formats, validates data quality, and coordinates data flow from multiple sources, thereby improving reliability through systematic processing while containing complexity within a dedicated intermediate component.
3Loss of time
If real-time financial data is used for economic indicators, then timeliness of insights improves, but data processing requirements and complexity increase
Solution Approach 1:
The system performs preliminary data preparation, validation, and aggregation in advance by establishing continuous data collection pipelines from financial sources. Data is pre-processed and stored in standardized formats as it becomes available, so when economic indicators need to be generated, the processing requires minimal additional time and complexity, as the heavy lifting of data collection and initial processing has already been completed.
Data Source
AI summary
A method for generating an economic indicator involves obtaining financial data from multiple data sources, where the data courses include multiple business applications and/or multiple personal financial management applications. The method further involves aggregating financial data to obtain aggregated financial data, and generating the economic indicator using aggregated financial data.