6 Top Driver / Influencer Analysis – Elldy Academy

What is data analytics?

Data cleaning? Missing Values Duplicate Data Case Sensitivity Data Types Outliers

Quick Stats Basic Stats What Is an Outlier? How to Practice Basic Stats & Outliers

1. Variance 2. Standard Deviation (SD) 3. Coefficient of Variation (CV) 4 Practice Variance, Standard Deviation (SD), Coefficient of Variation (CV)

1. Skewness 2. Kurtosis

Correlation Why We Use Correlation? Pearson Correlation (r) Spearman Correlation (ρ or rₛ)

Trend Analysis 1. Time forecasting 2. Trend Break Detection 3 Moving Average

Grouping 1. Group By Sum 2. Group By Mean (Average) 3. Group By Count 4. Group By Minimum 5. Group By Maximum 6. Group By Median

AI Insights 1. Anomaly Detection 2 .Forecast Suggestion (Predictive Forecasting) 3 Correlation Warning 4 Trend Direction Prediction 5 Seasonality Detection 6 Top Driver / Influencer Analysis 7 Productivity Improvement Prediction 8 Business Risk Warnings

CERTIFICATION

chapter 9 :AI insights

6 Top Driver / Influencer Analysis

Identifies the key factors that most strongly influence a target metric.

Example:
AI finds:

Advertising spend → 60% impact on sales
Store location → 25% impact
Weather → 15% impact
Top driver: Advertising spend

Analysis Process:

Define target variable (e.g., sales).
Collect related features.
Apply regression or feature importance model.
Rank factors by influence.
Show top drivers.

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