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The Center for Business Analytics is pleased to recognize McDonald’s as an honoree of the 2023 Drexel LeBow Analytics 50 Awards. Read more about how McDonald’s used analytics to solve a business challenge.


Molly Sullivan, Senior Manager, Data Quality Engineering




Food Service, Retail

Business Challenge

As America’s largest fast-food chain, McDonald’s must sort through massive amounts of data. Utilizing accurate, sound and complete data is key to making informed business decisions as the company continues to grow and evolve.

Analytics Solution

To understand data quality, foster trust in data and direct decision-making, McDonald’s proactively monitors and addresses data quality incidents in real time. An example of proactive monitoring was the launch of the MyMcDonald’s Rewards Program that allows customers to receive points on every order, which can be redeemed for free or discounted items. During the pilot, McDonald’s used the Lightup application to measure data quality, helping the company to resolve issues prior to a broader rollout. As a result, 99.99 percent of the loyalty points data was accurate when the program was fully launched. Lightup’s capabilities enable McDonald’s to address data issues quickly when they do occur.


McDonald’s has more confidence in its business-critical data, empowering the company to make decisions quickly and confidently. The decreasing amount of data quality issues and use of artificial intelligence–powered data quality checks have allowed the company to accelerate its time to market and will improve business outcomes.