Forecasting Across Business Domains

Scenario

You are asked to build forecasting models for different business problems, such as demand, revenue, or user activity. The data generating process can vary by domain, so you need a repeatable way to choose between statistical and machine learning approaches.

Question

How do you build statistical and machine learning models to solve forecasting needs across business domains?

Problem

Scenario

Question

How do you build statistical and machine learning models to solve forecasting needs across business domains?

Example Dataset

size·1.2M daily observations across 2,400 entitiestarget·Daily numeric forecast targetfeatures·Lags, rolling stats, calendar, promotions, price, regionmissing_data·Sparse external regressors and occasional missing dates

Problem

Scenario

Question

How do you build statistical and machine learning models to solve forecasting needs across business domains?

Example Dataset

Problem

Scenario

Question

How do you build statistical and machine learning models to solve forecasting needs across business domains?

Interview Guides

Problem

Scenario

Question

Example Dataset

Problem

Scenario

Question

Example Dataset

Forecasting Across Business Domains

Problem

Scenario

Question

Example Dataset

Problem

Scenario

Question

Example Dataset