Mortgage Lending Geographic Information System
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Solution Overview
Problem
Mortgage lending institutions face challenges in understanding their markets due to incomplete data and lack of customized geographic and demographic information, leading to missed marketing opportunities and inefficient resource allocation.
Innovation Solution
A system comprising a database, mapping application, and user interface that retrieves and filters geographic and demographic data from multiple sources, allowing users to customize visual representations of mortgage lending activity, enabling targeted market analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If mapping tools are used to generate maps with geographic and demographic data, then visual representation of mortgage lending activity is provided, but the information sources are minimal and lack comprehensive data
Solution Approach 1:
The patent combines multiple data sources including public sources (census data, property records) and private sources (mortgage lending data, credit information) into a unified database system. This merging of diverse information sources resolves the contradiction by providing comprehensive geographic and demographic information while managing the complexity through integrated data architecture.
Solution Approach 2:
The mapping system is designed to handle multiple types of data (geographic, demographic, economic, mortgage-specific) and serve multiple functions (visualization, analysis, filtering, reporting). This multi-functional approach allows the system to comprehensively address information completeness needs across different mortgage lending contexts.
2Productivity
If current mapping tools are used without filtering options, then basic mapping functionality is provided, but significant resources are expended to seek out necessary data for business decisions
Solution Approach 1:
The system pre-processes and organizes geographic, demographic, and mortgage lending data into a structured database with standardized formats and relationships. This preliminary organization allows users to quickly retrieve and analyze specific market information without expending resources on manual data gathering, directly improving productivity while reducing energy loss.
Solution Approach 2:
The patent introduces an intermediary mapping system that sits between raw data sources and mortgage lending institutions. This intermediary automatically retrieves, filters, and presents relevant market data, eliminating the need for institutions to expend resources seeking out data independently while maintaining high productivity in market analysis.
3Adaptability or versatility
If mortgage lending institutions focus on traditional markets, then existing customer base is maintained, but changing trends and strategic markets are not understood
Solution Approach 1:
The mapping system provides dynamic visualization and analysis capabilities that allow institutions to explore changing market trends and emerging opportunities. The system can dynamically filter and highlight strategic markets based on various criteria (demographic changes, economic indicators, lending patterns), enabling institutions to adapt to changing trends while maintaining awareness of potential markets.
4Adaptability or versatility
If comprehensive geographic and demographic data is provided without filtering, then complete market information is available, but the data cannot be customized for specific mortgage market participant needs
Solution Approach 1:
The patent segments the comprehensive database into organized categories (geographic regions, demographic groups, property types, lending metrics) with hierarchical structures. This segmentation allows users to easily filter and customize data for their specific needs without overwhelming complexity, as the data is already divided into manageable, logically organized components that can be selectively accessed.
Data Source
AI summary
A system for depicting information relating to mortgage lending activities. A database stores information including demographic, economic, and mortgage lending information used in mortgage lending activities. Information in the database and information entered by a user is used to depict customized geographic and demographic information relating to a mortgage activity.