PredictEasy LUCID™ Report
From revenue data to actionable drivers. Regression and SHAP reveal what moves the needle. Pareto shows concentration. Seasonality uncovers patterns.
I — Illumination · Sample data
Example data that illustrates the analysis. PredictEasy pivots, charts, and explains this structure from your own datasources.
| Product | Revenue ($K) | Share % | Units | Growth % |
|---|---|---|---|---|
| Widget A | 420 | 38 | 8400 | 22 |
| Widget B | 310 | 28 | 6200 | 12 |
| Widget C | 220 | 20 | 4400 | 8 |
| Other | 150 | 14 | 3000 | -2 |
C — Causality · Charts support hypothesis
Each finding is backed by a chart that supports the hypothesis.
Revenue share by product — Pareto
Top 3 products drive 86% of revenue; Pareto holds.
O — Outcomes · What you achieve
PredictEasy turns your data into these outcomes. No data science team required.
What drives revenue? Region, product, channel, marketing spend
Pareto: 80% of revenue from 20% of products
Seasonality heatmap: month × region
Anomaly detection on revenue outliers
C — Capabilities · How it works
PredictEasy delivers these capabilities out of the box.
Regression + SHAP
Regression workflow predicts revenue. SHAP explains which features matter most.
Pivot with Sparklines
Region × quarter with inline trends. valueDisplayMode for share of total.
Fusion (Multi-Source)
Join GA4, HubSpot, and internal revenue. NLP-to-SQL for natural language queries.
I — Illumination · Features
Data sources
Connect your data from google analytics, hubspot, databricks, link. PredictEasy unifies fragmented signals into a single view.
D — Decision · Get started
Ready to get started?
Find Your Revenue DriversConnect your datasource, run your first analysis, and see results in minutes. No data science team required.
PredictEasy LUCID™ · Finance · 4 datasources
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