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Press Release

February 23, 2017

Pentaho Customer Caterpillar Receives Ventana Research Technology Innovation Leadership Award for IoT

Caterpillar Marine Asset Intelligence Uses Pentaho for Predictive Maintenance Analytics delivering ROI, Growth and Efficiency to Customers

February 23, 2017, San Francisco — Pentaho, a Hitachi Group Company, today announced customer Caterpillar Marine Asset Intelligence, the vessel monitoring and analytics subdivision of manufacturing leader Caterpillar Inc., and project lead James Stascavage, Marine Asset Intelligence Technology Manager at Caterpillar Inc., has been named the Ventana Research Technology Innovation Leadership Award winner in the Internet of Things (IoT) category. The Ventana Research Leadership Awards honor the leaders and pioneers across business and IT that have contributed to their organizations' successes.

As an early adopter of IoT, Caterpillar Marine understood the potential of using sensors, big data and analytics to predict equipment failures and respond more quickly and efficiently through preventive maintenance. With trillions of sensors creating massive data sets that needed to be evaluated every year, Caterpillar required a big data analytics solution that could streamline their complex data integration and transformation process. By embedding Pentaho Business Analytics into the Cat® Asset Intelligence technology, the company has been able to free up analysts' time to focus on providing customers real-time equipment predictive intelligence and multidimensional analysis – leading to improved efficiencies, minimized downtime and dramatically reduced maintenance costs for their customer base of industrial fleet owners.

"Predictive maintenance analytics, combined with the industrial Internet of Things, has allowed us to harness the business opportunity attainable through big data," said James Stascavage, Marine Asset Intelligence Technology Manager, Caterpillar Inc. "We use ETL very heavily now, and Pentaho is that driving force behind our ability to provide customers with deeper analysis and the ability to visualize and see things that are important but not necessarily easily viewable just with our on-board software."

The ability to combine IoT data with data from various other data sources is not only unique, but a critical competency for IoT initiatives that requires an advanced data integration and transformation process. Using Pentaho's metadata-driven approach and graphical drag-and-drop design interface, Caterpillar is able to construct complex models and translate maintenance data into operational recommendations that help customers make better decisions when it comes to maintaining the lifespan of their machines – ultimately allowing fleet owners to keep boats on the water longer by providing intelligence that reduces previously unforeseen challenges.

"Caterpillar Marine has been a pioneer when it comes to operationalizing IoT," said Dave Menninger, SVP and research director of Ventana Research. "Our IoT Benchmark Research shows that only 29% of organizations are modeling their event patterns. CAT's impressive use of Pentaho for big data and predictive maintenance analytics highlights the massive economic potential available through the innovative application of these techniques, and is one of the reasons they were selected for the 2016 Technology Leadership Award."

Pentaho will be hosting a webinar with James Stascavage, intelligence technology manager from Caterpillar Marine Asset Intelligence to discuss this use case in more detail on Thursday, February 23, 2017 at 8:00 a.m. PST / 4:00 p.m. UTC.Register for the webinar.

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ABOUT THE VENTANA RESEARCH BUSINESS TECHNOLOGY LEADERSHIP AWARDS
The 2016 Leadership Awards bring forward the leaders and pioneers who have contributed to their organizations' successes. These practitioners realize that successful business technology efforts require a team effort guided by leadership, and our awards will bring industry attention to those that have committed their resources to this critical undertaking. The Ventana Research Leadership Awards cover 30 business and technology categories and are open for organizations across business and IT, technology vendors and consulting firms. Analyst review, case studies and submissions are evaluated based on the stringent guideline set out by awards program criteria. Ventana Research 2016 Leadership Award recipients are announced and presented to the market through our press announcement. All winners will be recognized and the award recipients and their supporting technology vendors and/or consulting firms will receive a prestigious award from Ventana Research.

Ventana Research provides the most comprehensive analyst and research coverage in the industry; business and IT professionals worldwide are members of our community and benefit from Ventana Research's insights, as do highly regarded media and association partners around the globe. Our views and analyses are distributed daily through blogs and social media channels including Twitter, Facebook, and LinkedIn. To learn how Ventana Research advances the maturity of organizations' use of information and technology through benchmark research, education and advisory services, visit www.ventanaresearch.com.

About Pentaho, a Hitachi Group company
Pentaho, a Hitachi Group company, is a leading data integration and business analytics company with an enterprise-class, open source-based platform for diverse big data deployments. Pentaho's unified data integration and analytics platform is comprehensive, completely embeddable and delivers governed data to power any analytics in any environment. Pentaho's mission is to help organizations across multiple industries harness the value from all their data, including big data and IoT, enabling them to find new revenue streams, operate more efficiently, deliver outstanding service and minimize risk. Pentaho has over 15,000 product deployments and 1,500 commercial customers today including ABN-AMRO Clearing, BT, EMC, NASDAQ and Sears Holdings Corporation. For more information visit www.pentaho.com.

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