Business Development Licensing System for Pharmaceutical Data Integration
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Solution Overview
Problem
Pharmaceutical and biopharmaceutical companies face challenges in processing and utilizing large amounts of disparate data sources to make informed business decisions regarding product development, acquisition, and licensing, as existing systems lack a unified platform for integrating scientific and financial intelligence effectively.
Innovation Solution
A Business Development & Licensing system that combines multiple data sources, utilizing algorithms and visualization tools to provide customizable, manipulatable representations of data, allowing users to identify opportunities and make informed decisions by integrating scientific and financial intelligence, unstructured data analysis, and competitive intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple disparate data sources are integrated to provide comprehensive business intelligence, then the completeness and quality of decision-making information is improved, but the system complexity and difficulty of data integration increase
Solution Approach 1:
The patent combines multiple disparate data sources including scientific literature, clinical trial data, financial information, and competitive intelligence into a single unified platform. This merging of previously separate information sources eliminates data silos and provides comprehensive business intelligence in one integrated system, directly resolving the contradiction between information completeness and system complexity.
Solution Approach 2:
The system serves multiple functions simultaneously: it aggregates data from diverse sources, processes and analyzes the information, generates visual representations, and supports various business development activities including licensing, acquisition, and partnership decisions. This multi-functional approach consolidates what would otherwise require multiple separate systems into a single universal platform.
2Reliability
If comprehensive data from multiple sources is collected and processed, then the quality of business decisions is improved, but the time required to process and analyze the data increases
Solution Approach 1:
The system performs preliminary data collection, processing, and organization from multiple sources before the user needs the information. By pre-aggregating and structuring data from scientific, clinical, and financial sources in advance, the system eliminates the time-consuming manual data gathering process while maintaining high decision-making quality when users access pre-processed intelligence.
Solution Approach 2:
The patent replaces manual data collection and analysis processes with automated computational systems. Algorithms and software agents automatically scrape, parse, and synthesize data from multiple sources, substituting human manual work with automated mechanical processes that are both faster and more consistent, thereby improving decision quality without proportionally increasing processing time.
3Loss of information
If data is presented in detailed and comprehensive formats, then the information value for decision-making is improved, but the ease of understanding and visualization decreases
Solution Approach 1:
The system transforms complex multi-dimensional data from multiple sources into visual representations that add spatial and graphical dimensions to the information. By converting tabular and textual data into charts, graphs, and visual maps, the system maintains comprehensive information content while making it visually accessible and easier to understand through dimensional transformation.
Solution Approach 2:
The patent employs color coding and visual differentiation to represent various data types, sources, and relationships. By assigning visual attributes like color, shape, and size to different data elements, the system encodes comprehensive information in visually distinguishable forms that enhance understandability without sacrificing information density.
Data Source
AI summary
Systems and method for making intelligent business development and licensing decisions are disclosed. The present invention generally relates to an analytical tool that combines multiple data and content sets based on user selected factors and presents the data in the form of manipulatable visualizations to facilitate decision making to address a specific business problem. More specifically, this invention relates to providing a single portal for access to a decision support system that enables the visualization of data from multiple content and data sets to facilitate decision making related to opportunities analysis, asset acquisition, and intellectual property licensing.