(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 13
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.”
To learn more about PROS, visit the website at
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
PROS Holdings, Inc. (NYSE: PRO) is a big data software company that helps customers outperform in their markets by using big data to sell more effectively. We apply 27 years of data science experience to unlock buying patterns and preferences within transaction data to reveal which opportunities are most likely to close, which offers are most likely to sell and which prices are most likely to win. PROS offers big data solutions to optimize sales, pricing, quoting, rebates and revenue management across more than 30 industries. PROS has implemented more than 600 solutions in more than 55 countries. The PROS team comprises more than 700 professionals around the world. To learn more, visit
This press release contains forward-looking statements, including statements about the functionality and benefits of pricing software to organizations generally as well as the functionality and benefits of PROS software products. The forward-looking statements contained in this press release are based upon PROS historical experience with pricing and big data software and its current expectations of the benefits of pricing and big data software for organizations that implement and utilize such software. Factors that could cause actual results to differ materially from those described herein include the addressability of an organization’s pricing and revenue management needs, the risks associated with PROS developing and enhancing products with the functionality necessary to deliver the stated results and the risks associated with the complex implementation and maintenance of pricing and big data software such as PROS software products. Additional information relating to the uncertainty affecting the PROS business is contained in PROS filings with the Securities and Exchange Commission. These forward-looking statements represent PROS expectations as of the date of this press release. Subsequent events may cause these expectations to change, and PROS disclaims any obligations to update or alter these forward-looking statements in the future, whether as a result of new information, future events or otherwise.