Metrics Computer System for Account Opening Data Analysis
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Solution Overview
Problem
Existing computer systems lack a comprehensive and flexible framework for collecting and analyzing metrics across various data sources, which hinders the ability to provide insights into consumer behavior and program effectiveness, and requires significant IT support for standardization and global consistency.
Innovation Solution
A computer system and method for collecting, processing, and reporting metrics from multiple account opening data sources, including a data acquisition layer, processing layer, and information delivery layer, that acquires and analyzes data from various components such as account opening systems, customer communications modules, and web analytics providers, generating reports on customer interactions and profitability without requiring extensive IT intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a comprehensive metrics collection system is implemented across multiple data sources, then insight into consumer behavior and program effectiveness is improved, but device complexity and IT support requirements increase
Solution Approach 1:
The patent introduces a metrics collection system with data acquisition layers, processing layers, and information delivery layers that act as intermediaries between multiple data sources and the business entity. This layered architecture consolidates the complexity of collecting and processing metrics from diverse sources (account opening systems, customer communications modules, web analytics providers) into a standardized framework, reducing the IT support burden while maintaining comprehensive data collection capabilities.
Solution Approach 2:
The metrics collection system is designed as a universal framework that can collect, process, and analyze metrics from multiple different data sources using standardized methods. The system provides multi-functional capabilities including data acquisition from various sources, data processing and transformation, metric calculation, and report generation, all within a single integrated platform that serves the entire business entity globally.
2Stability of the object's composition
If standardized processes are implemented globally across all entities, then consistency in account opening processes is improved, but adaptability to local expertise and requirements deteriorates
Solution Approach 1:
The patent implements a metrics collection system that allows each local entity to define and collect specific metrics relevant to their local requirements and expertise, while maintaining a standardized global framework. The system enables local customization of data collection parameters and reporting formats without compromising the overall global consistency of the account opening process, allowing local entities to leverage their expertise in defining locally-relevant metrics.
3Measurement precision
If extensive data collection and analysis infrastructure is deployed, then measurement precision of metrics is improved, but loss of time and resources for implementation increases
Solution Approach 1:
The patent describes a metrics collection system that is pre-configured with standardized data acquisition methods, processing rules, and reporting templates. The system includes pre-defined data models, measurement methodologies, and analysis frameworks that are established before deployment. This preliminary setup enables rapid implementation across multiple entities while maintaining high measurement precision, as the infrastructure is already prepared to collect and analyze metrics without requiring extensive custom development at each deployment site.
Data Source
AI summary
A metrics computer system is configured to collect and analyze metrics from a plurality of account opening data sources including at least one component of an account opening system and a local entity storing account opening data. The metrics computer system includes a data acquisition layer, a data processing layer, and/or an information delivery layer. Various embodiments are described, including a computer implemented method for collecting and analyzing metrics using a metrics component and/or module.