Aaron Payne•Senior Insights Analyst, Chick-fil-A & MBA Student, Georgia Tech
Executive Summary
Aaron Payne, a Senior Insights Analyst at Chick-fil-A and Georgia Tech MBA student, discusses a real-world business analytics practicum project.
The project involved developing an interpretable, ensemble forecasting model (SARIMAX and XGBoost) for Confama, a Colombian social services company, to predict demand for its services.
The model incorporated external economic variables and an indicator for the COVID-19 pandemic to handle volatility, significantly improving upon the client's existing ARIMA model.
The conversation highlights the application of data science for social good and how companies like Chick-fil-A strategically use analytics for operational excellence to fund customer-centric initiatives.
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Concerns Raised
Balancing a demanding MBA program with a full-time job requires significant personal sacrifice and planning.
Real-world data often presents practical challenges like language barriers, manual entry errors, and missing information.
Forecasting in regions with economic and political instability introduces significant volatility that models must account for.
Opportunities Identified
Applying advanced ensemble forecasting models (like SARIMAX + XGBoost) can significantly improve accuracy over traditional methods.
Leveraging data analytics for operational excellence can free up resources to reinvest in customer experience and social initiatives.
The rise of Agentic AI presents a significant opportunity for integration into business workflows to bridge the gap between data science and business decisions.