|[July 16, 2014]
Data-Intensive Businesses Turn to Infobright to Transform Machine-Generated Data into Business Improvements
TORONTO --(Business Wire)--
the database analytics platform for the Internet of Things (IoT), today
announced that Rez-1,
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 (News - Alert) 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
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 (News - Alert). For more information on Infobright's customers and solutions
follow us on Twitter (News - Alert) @Infobright.
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