Data-Intensive Businesses Turn To Infobright To Transform Machine-Generated Data Into Business Improvements
Infobright, the database analytics platform for the Internet of Things (IoT), today announced that Rez-1, Smart 421, and PayPoint, three data-heavy businesses in the financial services, logistics and transportation industries, selected Infobright’s Enterprise Edition to transform their machine-generated data into business insights. The Infobright analytic database platform enables customers to interrogate machine and IoT generated data to quickly identify the patterns that drive smarter business decisions.
Infobright’s analytic database platform is a scalable solution specifically designed to achieve high performance for large volumes of machine-generated data used in complex ad-hoc analytic environments. Infobright combines semantic intelligence with advanced compression technology to accelerate queries and reduce hardware footprint resulting in a cost-effective solution designed to ensure on-demand performance without database tuning and administration.
“Businesses continue to struggle to collect, analyze and manage the massive uptick of machine-generate data due to the Big Data and Internet of Things explosion,” said Don DeLoach, Infobright President and CEO. “M2M data is generated very quickly and often needs to be investigated within a short period. Our platform, through new features such as approximate query, enables our customers to maximize insight into their data, delivering quick, intuitive and actionable business decisions.”
Customers continue to turn to Infobright to help make sense of the massive amounts of data generated by connected devices. Rez-1, Smart 421 and PayPoint implemented the Infobright platform to solve a myriad of challenges across industries, including:
- Rez-1 is SaaS company focused North America’s railway logistics market. Rez-1 uses Infobright’s technology to help create an infrastructure to store and analyze data coming in from their EDI messaging to improve the quality of their query reports and query reporting times for their railway customers.
- Smart 421 enables vehicle fleet operations to track business mileage using GPS. Infobright is used in Smart 421’s live sales management system as the underlying database for their reporting tool to enable production of monthly and ad-hoc reports of products sold, fulfilled reconciliation reports and actions taken to rectify errors.
- PayPoint is a leading specialist payments company, processing consumer payments across a wide variety of markets through its retail networks, Internet and mobile phone channels. With Infobright, it has developed market leading reporting capabilities that are both response rapid and data rich in content.
“The determining factor that led us to Infobright was speed. Our customers have been truly impressed with our ability to produce reports in such a quick turn-around time because they do not have that capability themselves,” said Bob Cook, Business Intelligence Architect, Rez-1. “Infobright has allowed us to complete query performance projects on a much faster scale to meet the time sensitive needs and demands of our customers. Ad-hoc reporting that used to take us hours to compile is now being delivered to our clients in under one minute, enabling us to provide a quick and cost-effective higher standard of service to our clients.”
Infobright delivers a high performance analytic database platform that serves as a key underlying infrastructure for The Internet of Things. Specifically focused on enabling the rapid analysis of machine generated data, Infobright powers applications to perform interactive, complex queries resulting in better, faster business decisions enabling companies to decrease costs, increase revenue and improve market share. With offices around the globe, Infobright’s platform is used by market-leading companies such as Mavenir, Yahoo! Bango, JDSU and Polystar. For more information on Infobright’s customers and solutions please visit www.infobright.com and follow us on Twitter @Infobright.
Copyright Business Wire 2014