We just released a blog associated with the Oracle Patent 12,625,873, granted on May 12, 2026, and titled “System and method for generating data visualization scores for use with a data analytics environment”. The patent describes a system that can examine a data visualization, identify the elements present, compare those elements against an analytics data visualization score matrix, and generate a score associated with the visualization.
This blog presents the conceptual foundation of the Analytics Data Visualization Score Matrix, its relevance for Oracle Analytics users, and its evolution through an LLM lens, where the matrix can become a reusable AI evaluation framework inside environments such as ChatGPT Enterprise, Codex-style development workflows, and the Oracle AI Data Platform.
See link here: https://blogs.oracle.com/analytics/ai-assisted-data-visualization-intelligence
Please find below the Analytics Matrix to help you create better Data Visualizations:
You can also simply load these pictures into any LLM and inject the below prompt:
"Using the Analytics Data Visualization Score Matrix from this article as your source of truth, score the dashboard image I upload. Identify visible elements, assign points conservatively, ensure to understand if the dashboard has been using any ML/AI, AI Assistant or complex features and calculations as it is providing additional important points. Calculate the total score, classify it as Beginner, Intermediate, Advanced, Leader, or Expert, and explain what audience it is best suited for. Provide a scoring table, the final score, the level, and recommendations to reach the next level."
