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IoT data analytics streams into uncharted waters
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In the world of the internet of things, it's one thing to gather mountains of data from an ever-increasing multitude of sensors, appliances, vehicles, smart personal devices and industrial equipment. It's quite another thing to liberate congested data warehouses; select, process and analyze worthy data; and formulate business, development and manufacturing plans that can catapult a company ahead of the competition. IoT's tentacles reach into many industries, and its applications are getting more creative as companies thirsting to gain a competitive edge take advantage of the untapped potential of IoT data analytics. Estimates range from 20 billion to as high as 50 billion IoT-connected devices in the next few years.
In the first feature of this handbook on IoT analytics, consultant David Loshin reveals how manufacturing operations are rapidly being reconfigured to connect the machines within a particular factory as well as create a broader network that can pull together data from equipment throughout an organization's multiple facilities. Data analysts can apply predictive analytics to streaming data from factory-floor machines to prevent unscheduled shutdowns, reduce costs and improve manufacturing productivity. In the second feature, consultant David A. Teich probes edge analytics as a way to counteract the exponential growth in devices being connected and the resulting network congestion. Systems at the network edge can be used to process, filter and analyze data, then pass on aggregated data sets to a centralized analytics platform. And in the third feature, news writer Ed Burns examines how Visa is using IoT data analytics to expand and simplify its transaction processing capabilities while capitalizing on analytical models to provide business intelligence to merchants.
Table Of Contents
- New pipelines for analyzing manufacturing data
- Machine data, edge analytics stress IoT networks
- IoT analytics tools help Visa move beyond the plastic
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