Data Analytics Assistant for Natural-Language Story Generation

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Solution Overview

Problem

Existing data analytics systems lack the ability to efficiently generate data analytics stories and provide natural language processing capabilities for user interactions, limiting the effectiveness of data visualization and analysis.

Innovation Solution

Integrate a data analytics system with a digital assistant that provides natural language processing capabilities, enabling the generation and interaction of data analytics stories through user input, such as text or speech, within a data visualization project.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a data analytics system integrates natural language processing capabilities through a digital assistant, then the ease of operation and user interaction with data visualizations is improved, but the device complexity increases

Engineering Contradiction:
Improveuser interaction with data visualizationsVSAvoidsystem architecture
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

A digital assistant is introduced as an intermediary component between the user and the data analytics system. The digital assistant processes natural language input from users, translates it into appropriate data analytics queries, and presents results in an accessible format. This mediator layer simplifies user interaction without requiring users to understand complex data analytics operations, while the system backend handles the complexity of processing and analysis.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If the system automatically generates data analytics stories from visualizations, then the productivity of data analysis is improved, but the extent of automation increases system complexity

Engineering Contradiction:
Improvedata analysis efficiencyVSAvoidstory generation capability
Core Design Contradiction:
ProductivityVSExtent of automation

Solution Approach 1:

The system implements self-service functionality by automatically generating data analytics stories from visualizations without requiring manual intervention. The system autonomously analyzes visualization data, identifies key insights, and constructs narrative stories that explain the data findings. This automation accelerates the data analysis process while the system manages the complexity of story generation algorithms and data interpretation internally.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250278343A1System and method for providing a data analytics assistant and automatic generation of data analytics stories
Publication Date: 2025.09.04 ORACLE INT CORP
  • US20250278343A1 patent drawing
  • US20250278343A1 patent drawing
  • US20250278343A1 patent drawing

AI summary

In accordance with an embodiment, described herein is a system and method for providing a data analytics assistant, for use with a data analytics environment, and automatic generation of data analytics stories. In accordance with an embodiment a data analytics system or environment can be integrated with a digital assistant which provides natural language processing capabilities, for purposes of leveraging the natural language processing of a user's text or speech input, within a data analytics or data visualization project, for example while generating, modifying, or interacting with data visualizations, or generating a story or script that includes or is descriptive of data visualizations.