Model Management System for Marketing Scenario Analysis
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Solution Overview
Problem
Marketing strategies face inefficiencies due to complex model management and lack of transparency in model utilization, interdependencies, and resource allocation, leading to suboptimal use of marketing models and increased costs.
Innovation Solution
A system and method for providing analytic information on model relationships and dependencies, including empowerment tools for data visualization, model analysis, and reporting, to enhance knowledge sharing, accelerate campaign execution, and monitor system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If marketers use multiple proprietary software tools and off-the-shelf solutions to develop marketing strategies, then the ability to model marketing scenarios is improved, but the complexity of managing vast libraries of models and model variables increases
Solution Approach 1:
The patent implements a universal model management system that consolidates multiple proprietary software tools and off-the-shelf solutions into a single platform. This system provides centralized management of vast libraries of models and model variables, enabling users to access and manage diverse marketing scenario models through a unified interface, thereby reducing management complexity while maintaining the ability to model various marketing scenarios.
Solution Approach 2:
The patent introduces transparency tools as an intermediary layer between users and the complex model libraries. These tools provide visibility into model usage, interdependencies, and distribution, acting as a mediator that simplifies navigation and management of the vast model library without reducing the underlying versatility of the modeling capabilities.
2Productivity
If transparency tools are implemented to view model penetration, utilization, and distribution, then model management efficiency is improved, but the time and resources required to analyze model relationships increase
Solution Approach 1:
The patent implements transparency tools that pre-calculate and display model usage statistics, penetration metrics, and distribution information. By preparing and presenting this analytical information in advance through automated queries and reports, the system enables users to quickly assess model relationships without manually analyzing complex interdependencies, thus improving management efficiency while minimizing additional time requirements.
3Loss of energy
If marketers delete models that appear unused to free up resources, then resource allocation is improved, but the risk of affecting dependent models increases
Solution Approach 1:
The patent implements transparency tools that provide feedback on model interdependencies and usage patterns. Before deleting any model, the system analyzes and displays information about which other models depend on the target model, enabling informed decisions about resource allocation while maintaining system stability. This feedback mechanism prevents accidental deletion of critical models while still allowing removal of truly unused models.
Data Source
AI summary
A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and returning the data to the requesting user in the form of a web page.