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GE Predix Platform Embeds Pitney Bowes Location Intelligence and Data Quality to Bolster Industrial Internet Data Analytics
Collaborating on the GE Predix platform enables business leaders to address mission-critical challenges across large-scale industrial environments. This level of intelligence spans physical and digital networks to speed operational decisions that deliver cost efficiencies, improve performance and increase revenues.
Today, machines communicate with each other across industrial networks in much the same way people do in social networks. Industrial analytics bring to light powerful opportunities for optimizing operations.
Location intelligence and data quality are the two of the most critical aspects of data analytics for industrial enterprises. Pitney Bowes’ location intelligence capabilities cover 122 countries at point and street level, 240 countries and territories at postal and place levels, and provide the accuracy and precision necessary for industrial data processing needs. Multitudes of data collected by sensors on machines and assets are presented geospatially and analyzed to reveal business intelligence in real time across industrial networks.
“To harness the power of the Industrial Internet, we must continuously
advance the convergence of the physical and digital worlds,” said
“Industrial challenges require the global real-time big data analytics
provided by the GE Predix platform. On this industrial scale,
In shipping and logistics, industrial analytics help transform global operations with intelligence around the location of each asset at any given time. For example, the ability able to track materials needed for manufacturing as they are moving through a complex international supply chain, or the optimization of last-mile delivery for millions of domestic and cross-border parcels in real time.
Government officials turn to industrial analytics to make informed and accurate decisions on repair, maintenance and investment for critical public infrastructure assets against tightly constrained budgets and timescales. As sensors are used to monitor highway traffic, utility efficiency and municipal works, a real-time geospatial view of infrastructure becomes critical for planning and delivering city services.
Mining companies have, for many years, relied on geospatial data analytics to help find the highest concentration of minerals that can be extracted at the lowest cost. At mining sites, remote and autonomous vehicles, mining equipment, conveyor belts and even staff can now be equipped with sensors that include GPS for location. This information is fed into systems that analyze and optimize the operation of the mine, improve employee safety and predict problems before they happen.
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About
View source version on businesswire.com: http://www.businesswire.com/news/home/20150915005275/en/
Source:
Pitney Bowes Inc.
Carol Wallace, 203-351-6974
Media Relations
Director
Carol.wallace@pb.com