Player Profile Analytics Platform for Casino Data Management
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Solution Overview
Problem
Service businesses, particularly those with large numbers of employees, customers, and properties (like casinos), face challenges in gaining a comprehensive understanding of their operations and customers due to the overwhelming amount of data they need to analyze, often requiring costly external data scientists or inefficient internal processes.
Innovation Solution
A platform with a software foundation and backend that collects, organizes, and analyzes data from various sources, providing customizable user interface elements for managing services, including player profiling, comp management, and action management, allowing businesses to view and manage properties individually while maintaining a unified management platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a service business collects and stores comprehensive data from multiple sources to gain understanding of customers and operations, then the quality and completeness of customer understanding improves, but the complexity of data management and analysis increases
Solution Approach 1:
The patent segments the comprehensive data into multiple specialized databases organized by functional categories (player profiling, comp management, action management, property management, etc.). Each database stores specific types of data relevant to its function, allowing the system to manage large volumes of information through modular, organized units rather than a monolithic structure.
Solution Approach 2:
The patent introduces a data warehouse as an intermediary layer between the various operational databases and the analytical tools. This data warehouse consolidates and standardizes data from multiple sources, providing a unified interface for analysis while shielding users from the underlying complexity of data collection and integration across different systems.
2Measurement precision
If a service business with large number of employees, customers, and properties implements comprehensive data collection, then the depth of operational understanding improves, but the time and resources required for data analysis increase
Solution Approach 1:
The patent implements preliminary data processing and organization through structured databases that automatically categorize and store data as it is collected from various operational sources. This pre-organization of data eliminates the need for time-consuming data gathering and cleaning activities during analysis, as the information is already arranged in accessible, standardized formats.
Solution Approach 2:
The patent creates consolidated views and reports that copy and aggregate data from multiple specialized databases into unified presentations. These consolidated views provide comprehensive operational understanding by synthesizing information across different functional areas without requiring analysts to manually access and integrate data from numerous separate sources.
3Measurement precision
If a service business uses external data scientists to analyze operational data, then the quality of insights improves, but the cost of implementation increases
Solution Approach 1:
The patent implements self-service analytical capabilities through automated database queries, reporting tools, and data visualization features that are directly accessible to business users. These tools enable employees to independently analyze operational data and generate insights without requiring external data scientists, thereby maintaining high-quality analysis while eliminating expensive external consulting fees.
4Productivity
If a service business implements unified management platform for multiple properties, then the efficiency of multi-property management improves, but the complexity of system integration increases
Solution Approach 1:
The patent implements a unified management platform with universal databases and interfaces that serve multiple properties through standardized functional modules. The same database structures and management tools used for single-property operations are extended to handle multiple properties, allowing the system to manage diverse properties through a consistent, multi-functional framework rather than requiring separate systems for each property.
Data Source
AI summary
Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, player insights, floor mapping, campaign management, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.