← 02 Data Exploration
02 · WhatDataAI Analysis

WhatDataAI Analysis

Analyzes data fields to auto-recommend applicable AI algorithms (regression, discriminant, multi-class, time-series) and usable Y/X variables → tells you what you can do with your data and which data matters most.

62
Regression-ready Y variables
62
Time-series-ready Y variables
4
Analysis families
Capabilities

Capabilities

Y-variable Performance
Pre-computes predictive performance per candidate Y variable across regression / discriminant / multi-class / time-series.
Algorithm Applicability
Compares usable Y-variable counts per analysis family in a bar chart.
Combined Results
Summarizes applicability across the four families and presents a variable relationship graph.
Recommendations
Suggests optimization targets, noise-variable removal, and key X-variable candidates.
Result
New business opportunities · cost reduction · revenue creation
PPTX Evidence

Source Evidence

Source — XimTier menu PPTX · Slide 06 · 24

WhatDataAI Analysis original slide
Slide 06
WhatDataAI Analysis original slide
Slide 24

Tweaks · Designer's preview

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