18134999. AUTOMATICALLY BUILDING BUSINESS INTELLIGENCE MODELS simplified abstract (Microsoft Technology Licensing, LLC)
Contents
AUTOMATICALLY BUILDING BUSINESS INTELLIGENCE MODELS
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Yiming Stefania Lin of Irvine CA (US)
Surajit Chaudhuri of Kirkland WA (US)
AUTOMATICALLY BUILDING BUSINESS INTELLIGENCE MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18134999 titled 'AUTOMATICALLY BUILDING BUSINESS INTELLIGENCE MODELS
The present disclosure describes methods and systems that automatically predict a business intelligence model for tables of data provided as input. The methods and systems generate a graph representing the business intelligence model and provide the graph as output. The graph visually represents the business intelligence model, with nodes representing each input table and edges representing weighted connections between tables.
- Automatically predict a business intelligence model for input data tables
- Generate a graph to visually represent the business intelligence model
- Nodes in the graph represent input tables, while edges represent connections between tables
- Provide the graph as output to users
Potential Applications: - Data analysis and visualization - Business intelligence and decision-making - Predictive analytics and forecasting
Problems Solved: - Streamlining the process of creating business intelligence models - Improving data visualization and understanding - Enhancing decision-making based on data insights
Benefits: - Time-saving in generating business intelligence models - Improved data analysis and visualization - Enhanced decision-making based on accurate insights
Commercial Applications: Title: Automated Business Intelligence Model Prediction System This technology can be used in various industries such as finance, marketing, healthcare, and retail for data analysis, predictive modeling, and decision-making processes. It can help businesses gain valuable insights from their data and make informed decisions to drive growth and success.
Questions about the technology: 1. How does this technology improve the efficiency of creating business intelligence models? 2. What are the key advantages of using automated prediction systems for business intelligence models?
Original Abstract Submitted
The present disclosure relates to methods and systems that automatically predict a business intelligence model for tables of data provided as input. The methods and systems automatically generate a graph representing the business intelligence model and provide the graph as output. The graph provides a visual representation of the business intelligence model with nodes of the graph representing each input table and edges of the graph representing weighted edges joining pairs of tables together.
