Pegasystems Announces Hadoop Big Data Support
CAMBRIDGE, Mass. – April 18, 2012 – Pegasystems Inc. (NASDAQ: PEGA), the leader in Business Process Management (BPM) and software for customer centricity, today announced integration with Apache Hadoop to enhance its industry-leading predictive and adaptive analytics offering.
Working in conjunction with several major customers, Pegasystems completed a successful reference implementation of Hadoop within its environment. The marriage of a big data Hadoop technology with Pega’s adaptive and real-time recommendation engine marks an industry breakthrough for advanced multi-channel customer interactions.
The customer database was built on Hadoop with 17,000 selectable items mapped against a database of 2.5 million consumers. The predictive models deployed used multiple profile dimensions including preferences, history and priority. The Pega engine consumed Hadoop-based analytic summaries, and then refined customer preferences with built-in adaptive and predictive analytics. Because the solution manages real-time interactions, the system continuously and dynamically improved the underlying predictive models.
Quotes & Commentary:
“This combination of data-driven recommendations from Hadoop with our highly successful adaptive and self-learning predictive model architecture has generated significantly more insight from raw big data than was previously possible,” said Dr. Rob Walker, Vice President of Decision Management and Analytics at Pegasystems. “Big data is most useful when it’s actionable and used to drive smart decisions. We are thrilled with the competitive advantage that this will give our clients.”
“Predictive analytics are becoming more-widely used in intelligent, event-driven business operations,” said Roy Schulte, Vice President and Distinguished Analyst at Gartner. “As the volume of event data grows, and businesses understand the benefits of running more-sophisticated analytics to enable intra-day improvements in their operations, we expect to see more use of MapReduce techniques such as those provided by Hadoop. This is contributing toward the evolution of BPM Suites into next-generation intelligent BPM Suites (iBPMS).”
“Pega shows how predictive next best actions can also be put to significant use across all processes and interactions, not just consumer preference recommendations,” said Alan Trefler, Founder and CEO of Pegasystems. “Pega’s Next Best Action Advisor™ continually incorporates multiple information sources. Its predictive and adaptive models actually learn faster the more data we can feed them, yielding better predictive recommendations even at the point of customer interaction.”
- For more information on Pegasystems’ Hadoop big data support, please visit: https://www.pega.com/resources/hadoop-big-data-support
Pegasystems (NASDAQ: PEGA) develops strategic applications for marketing, sales, service, and operations. Pega’s applications streamline critical business operations, connect enterprises to their customers seamlessly in real-time across channels, and adapt to meet rapidly changing requirements. Pega’s Global 3000 customers include many of the world’s most sophisticated and successful enterprises. Pega’s applications, available in the cloud or on-premises, are built on its unified Pega® Platform, which uses visual tools to easily extend and change applications to meet clients’ strategic business needs. Pega’s clients report that Pega gives them the fastest time to value, extremely rapid deployment, efficient re-use, and global scale. For more information, please visit us at www.pega.com.
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The information contained in this press release is not a commitment, promise, or legal obligation to deliver any material, code or functionality. The development, release and timing of any features or functionality described remains at the sole discretion of Pegasystems, Pegasystems specifically disclaims any liability with respect to this information.
Lisa Pintchman Rogers
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