Prescient Chooses Hortonworks to Make Travel Safer with Connected Data Platforms

SANTA CLARA, Calif. — September 12, 2016 —  Hortonworks, Inc.® (NASDAQ: HDP) today announced Prescient has adopted Hortonworks’ Connected Data Platforms, utilizing both Hortonworks Data Platform (HDP®) and Hortonworks Data Flow (HDFTM) to redefine the traveler risk management market. Hortonworks is helping Prescient process 19,000 location updates per second to keep travelers aware and safe from physical, health-related and environmental threats.

Tackling an Industry Issue

Prescient, a Chicago-based risk management and technology firm, recognized a breakdown in the information exchange between travel risk management firms and their clients. While firms were generating in-depth, informative reports on specific cities, traveling clients weren’t reading them. The reports were too long, with data that was stagnant, having been generated days, weeks and even months prior. Prescient saw the need for real-time risk information and turned to Big Data to develop an industry transforming solution.

“We recognized early on that this data was going to grow in a way that demanded deep, post-collection analytics. We needed to have a framework with a very rich toolset, that would allow us to develop those analytic workflows over time and therefore adopted a Connected Data Platforms strategy,” said Mike Bishop, Chief Systems Architect, Prescient. “In today’s world, our clients’ primary concern is keeping their employees safe when they travel. With Hortonworks’ help, analysts can complete two detailed assessments every day, down from producing one every three to four days which is a 700% increase in productivity.”

A Connected Data Platforms Strategy

Early on in the process, Prescient realized it needed to make ingestion of data simpler. Taking data from incoherent, unstructured sources like RSS feeds and news sites, Prescient uses more than 49,000 data sources to monitor risk levels. To cope with the volume of unstructured data, the company turned to HDF for its data ingestion needs. HDF was the only option to provide a clean user interface to help manage data at scale, as well as low ongoing maintenance requirements. By pairing HDF with HDP, the company can securely manage all data types, from any source and in any environment. This allows Prescient to combine historical trends with real-time information, leading to extremely relevant and comprehensive risk assessments – and ultimately, the ability to empower clients to travel smarter.

Prescient and Hortonworks continue to innovate together. As it stands, manual effort is still involved in filtering out real threats from false positives. Prescient plans to leverage machine learning and Apache Spark to create self-learning algorithms that will reduce the number of false positives.

Further Reading

Prescient Case Study and Video:

Connected Data Platforms:

Connected Data Suite:

Hortonworks Customers:

About Hortonworks

Hortonworks is an industry leading innovator that creates, distributes and supports enterprise-ready open data platforms and modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. Hortonworks is focused on driving innovation in open source communities such as Apache Hadoop, Apache NiFi and Apache Spark. Along with its 1,800+ partners, Hortonworks provides the expertise, training and services that allow customers to unlock transformational value for their organizations across any line of business.

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