Brand Protection Risk Scoring With Survey Analytics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems struggle to effectively assess and manage intellectual property risks due to the diversity of risks and varying responses across different industries and types of intellectual property, making it difficult to determine the magnitude of risks and appropriate responses.
Innovation Solution
A brand protection tool that utilizes a user interface to gather data through surveys, analyze it using analytics, generate reports with visualizations, and provide policy recommendations, incorporating natural language processing and web scraping to identify and mitigate risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a comprehensive survey and analytics system is implemented to assess intellectual property risks, then the accuracy and completeness of risk assessment is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the intellectual property risk assessment into multiple distinct modules: survey management module for data collection, analytics module for processing, report generation module for output, and visualization module for presentation. Each module handles a specific aspect of the assessment, making the overall complex system manageable and maintainable while achieving comprehensive risk evaluation
Solution Approach 2:
The system introduces an intermediary analytics engine that processes raw survey data and transforms it into structured risk assessments. This intermediary layer simplifies the complexity by providing a standardized processing interface between data collection and report generation, handling the complex analytical operations in a centralized manner
2Productivity
If automated report generation and policy creation are implemented, then productivity is improved, but the device complexity increases
Solution Approach 1:
The system implements self-service automation where the report generation and policy creation modules automatically produce outputs based on input data without requiring manual intervention. The system self-generates comprehensive risk assessment reports and recommended policies by processing survey responses through analytics algorithms, significantly improving productivity while containing complexity within the automated modules
Solution Approach 2:
The system performs preliminary actions by pre-configuring report templates and policy frameworks before the actual assessment. The report generation module has pre-defined structures and the policy module has pre-established guidelines, allowing automated population of these templates with assessment data, which improves efficiency while managing complexity through reuse of standardized components
3Loss of information
If visualizations and multiple metrics are provided, then the information completeness is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system transforms complex multi-dimensional risk data into visual representations displayed on a two-dimensional interface. The visualization module converts metrics such as risk scores, protection levels, and vulnerability assessments into graphical formats like charts and graphs, maintaining information completeness while making the data easier to detect and measure through visual perception rather than raw numerical analysis
Data Source
AI summary
A brand protection tool for managing risk to a brand is disclosed. The brand protection tool may provide a survey to a user. The survey may include a plurality of questions related to intellectual property. Based at least in part on the survey responses, the brand protection tool may determine a risk score, a protection score, and a net protection score. The brand protection tool may automatically generate a report including the net protection score and a visualization including a representation of the risk score and protection score. The brand protection tool may provide the report to a user or downstream system.