HOUSTON, March 25, 2013 – PROS® (NYSE: PRO), a big data software company, today announced Neil Biehn, Ph.D., vice president of science and research, will deliver a presentation at the 13th annual INFORMS Conference on Business Analytics and Research. Scheduled April 7-9 at the Grand Hyatt San Antonio, the conference draws experts on predictive and prescriptive analytics who share topics on applying analytics to solve real-world problems.
Dr. Biehn will deliver a presentation titled “The New “V” in Big Data: How Viability is Driving Better Outcomes” on Monday, April 8, at 9:10 a.m CDST. In his address, he will augment the traditional three Vs of big data – volume, variety and velocity – with an additional “V” – viability. According to Biehn, viability arguably may be the most important as it determines which data elements actually produce better outcomes. He will discuss the battle between viability and variety, and share a simple innovation process to steer his audience toward a successful big data path that reaps long-term rewards.
“The INFORMS conferences are unmatched for the quality of presentations, peer collaboration, and the latest trends in big data, analytics and operations research,” said Biehn. “These are forums for scientists, who bring to bear big data and analytics discussions to solve the most pressing business challenges in their respective organizations. I look forward to seeing industry colleagues and collaborating on the latest advances in big data and analytics.”
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About Neil Biehn, Ph.D.
Neil Biehn is vice president and leader of the science and research group at PROS, Inc., where for the past 12 years he has researched pricing, revenue and profit optimization, and the underlying data science. During his tenure, Biehn has designed pricing algorithms and optimization models for companies in more than 30 sub-industries. He is a published author in a variety of formats that include scientific journals and white papers, and is a contributor to the recently published book titled Innovation in Pricing: Contemporary Theories and Best Practices.