Urban Science Calls on Corticon to Cut Through Big Data

August 06, 2012 Digital Experience, Data & AI, Corticon

If you’ve ever researched buying a car online (and nearly 80% of new car buyers do, according to J.D. Power and Associates) you can probably imagine the amount of data generated by the process. Nearly everything is captured - from basic demographic information, like your name and address, to the price range, vehicle type and options packages you’re looking for. And with more than 3.8 million new cars sold already this year, the data really adds up!

As a global automotive retail consulting firm, Urban Science wades through this data every day to help automotive retailers allocate resources, grow market share and improve profitability. Earlier this year, Urban Science began a trial of Corticon business rules management system (BRMS) to see how Corticon could help capture and route leads from more than 30 online sources. Today, we’re happy to announce that Urban Science has decided to implement Corticon permanently.

This was an exciting win for Progress and the Corticon team. As I mentioned in the release, companies historically have not tackled Big Data problems with business rules solutions because most rules engines do not scale well with data-intensive processing. Our work with Urban Science is a testament to the scalability of our solution and proof positive that Corticon is more than equipped to tackle Big Data challenges.

Curious what Corticon can do for your business? Check out the product page here: http://www.progress.com/products/corticon

Dr. Mark Allen

Dr. Mark Allen is a Progress General Manager, dedicated to advancing business automation and passionate about applying technology to improve the world. In 2000, he founded Corticon, later acquired by Progress in 2011. Under his leadership, Corticon became a leading independent business rules platform with hundreds of customers in diverse industries such as financial services, government, healthcare and insurance. Prior to founding Corticon, Dr. Allen developed rules-based systems to help physicians make better patient care decisions. Dr. Allen has a B.S. in Applied Physics from Columbia University, and an M.D. from the University of California Los Angeles.

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