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Gravy Analytics Partners with Nitrogen.ai so Data Scientists Can Speedily Correlate Foot Traffic and Socio-economic Data in the Post-Pandemic World

Data scientists can now access vast human movement data, discover correlations with complementary data sets and confidently generate richer insights

As economies begin to re-open post-COVID-19, data will be essential to understanding changed human movement patterns and business opportunities in the “new normal.” Starting , Gravy Analytics becomes the exclusive foot traffic data provider to the Nitrogen.ai data marketplace. Now, data scientists can use Nitrogen.ai to access Gravy’s privacy-friendly Visitations data – detailing consumer visits to millions of commercial places of interest – and instantly correlate it with their own data sets, replacing a notoriously painstaking and manual process. The result is faster and more predictive insights about where people are going in the physical world and how that intersects with other economic and demographic data models.

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Gravy Visitations data, the company’s foundational data product, has provided 17,000 different features capturing visits to an array of brands and place categories, as well as visits per 10,000 people at the zip code geography level. It joins the myriad of data sets in the Nitrogen.ai marketplace, which includes public data from the U.S. Census Bureau and U.S. Department of Labor, as well as other macroeconomic, consumer spending, home and gas prices, crime, weather data, and other commercial sources.

“Pre-pandemic data sets and assumptions won’t fly in the post-COVID-19 world. Businesses are starting over, and they’re going to need relevant data to understand where people are going post-pandemic, and how that maps to their operations, product development, supply chains and marketing,” said Jeff White, founder and CEO of Gravy Analytics. “Nitrogen.ai’s platform makes it easier for researchers to explore the relationship between people’s movements and multitudinous other data features, fueling new use cases and possibilities.”

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