Case Study: McDonald’s achieves faster, smarter POS insights with Wavicle Data Solutions

A Wavicle Data Solutions Case Study

Preview of the McDonald’s Case Study

Intuitive POS data mart drives smarter analyst decisions for McDonald’s

McDonald’s worked with Wavicle Data Solutions to help its global digital analyst team get faster, more intuitive insights from massive point-of-sale (POS) data. The company needed to analyze how offers, loyalty programs, kiosk usage, and other factors affected sales, guest counts, check size, and service times across thousands of locations, but its existing warehouse was too large and too raw for quick, trusted analysis.

Wavicle Data Solutions built a high-performance data mart on McDonald’s Amazon Redshift platform, integrating POS, SoS, offer, and loyalty data into both summary and granular tables tailored for analysts and data scientists. The solution delivered faster querying and more actionable insights, and it proved especially valuable during COVID-19 by quickly surfacing the impact of shifts from dine-in to take-out and delivery at restaurant and regional levels, helping leadership respond to the crisis with timely data.


Open case study document...

Wavicle Data Solutions

19 Case Studies