Tango Analytics
Providing Big Data Predictive Analytics for Retail Lifecycle Management

After spearheading retail real estate practices at BearingPoint, Ernst & Young, and Deloitte Consulting, Jack Thompson and Pranav Tyagi felt that, though a number of companies offered pure GIS solutions, and a number of others offered business process automation solutions (IWMS solutions), they were not doing enough to quench the thirst of customers operating in the space. “The days of standalone, disconnected and highly customized GIS solutions or store lifecycle point solutions trapped behind a client’s firewall are over. Today’s customers demand a geospatially enabled platform that integrates map content and provides predictive analytics and store lifecycle management capabilities on a global scale,” says Pranav Tyagi, Co-Founder and CEO of Tango Analytics. Quenching this thirst for an integrated solution that allows the customers to not only map a location, but also perform true analytics for that location and support their capital strategy is Tango Analytics.

Headquartered in Irving, TX, Tango Analytics provides comprehensive location strategy solution that combines advanced predictive analytics with an innovative cloud-based and mobile geospatial platform for managing all decision making for real estate. “We take all the customer data—whether it is from a loyalty program or surveys or point of sale—and all of the location centric data within the enterprise, then combine it with demographic, psychographic, competitive, and other datasets and provide forecasting models, competitive impact models, sales transfer and re-capture models, customer profiles and market optimizations solutions,” points out Jack Thompson, Co-Founder and Chairman of Tango Analytics. All of these ultimately help clients make better and faster decisions related to location, brand and product.

An real life example of how Tango’s solution benefits its customers was published in a front page article in The Boston Globe last year, where Dunkin Donuts’ leadership discussed how Tango’s solution helped them make relocation decision that resulted in sales improving by over 50 percent. “The application told us the demographics in this area had really shifted over time,” said Grant Benson, vice president of franchising at Dunkin’ Brands Group. “People aren’t as likely to get out and have a cup of coffee in the morning here anymore. They’re getting it on the way to something else.”

Tango’s impact on its clients is also gaining public and Wall Street attention and a number of Tango’s customers have even referenced Tango’s research on their analyst calls including Southlake based Del Frisco’s Restaurant Group. In this case, Tango Analytics developed a customer profile and trade area model, and then optimized every market in the U.S. to determine the best opportunities for concept growth. Del Frisco’s Grille now has a precise understanding of where to expand to achieve minimum AUV (Average Unit Volume), while protecting current portfolio sales.

"We have combined three discrete value chains–predictive analytics, big data geospatial processing, and store life-cycle management– and combined it into one value proposition, which differentiates us from the rest"

Tango Analytics uses a blend of industry standard technology from vendors like Oracle, as well as cutting edge technologies such as MongoDB and Hadoop to build its big data infrastructure for managing and processing massive volumes of geospatial data. In addition, Tango has developed sophisticated parallel computing and multi-threaded big data analytics engines for crunching and processing data, to enable real time customer insights. “We have combined three discrete value chains–predictive analytics, bigdata geospatial processing, and store life-cycle management–and combined it into one value proposition, which differentiates us from the rest,” asserts Tyagi.

Going forward, Tango Analytics aims to expand its retail solutions and customer analytics to emerging markets. “We are working on new data sets, as countries like China have limited data available to them, and we plan to use latest technologies in imagery and social media to provide collaboration across different facets of intermediation in the space,” concludes Thompson.