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Time-series data in manufacturing

While times series data, or the measurement of data change over time, is not a new data set, there are a rash of new applications for it.

In particular, time series data allows IoT-enabled businesses to study the evolution of complex systems over time.

But how can you build an analytics system that allows you to easily store, manipulate and analyze this data? Do you embrace time series databases, or innovate with something different?

Read on to learn how you can use time series data to monitor and improve your industrial processes.

These are also closely related to: "A Leap Forward In Digital Education"

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    Industrial time series data can help you track changes over time, a capability particularly useful as companies deploy IoT networks across their employees, warehouses, and factories.

    But storing, organizing, and analyzing all this data, in real-time, can cause organizations numerous headaches.

    Watch this video to view the challenges associated with collecting and using time series data and to build the right database architecture to tackle these challenges.

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    Real-time analytics promises the last word in business agility. There is obvious business value in being able to react immediately to changing patterns in customer behaviour or to prevent problems ahead of time, to give but two examples. And becoming more real-time could be an element in accelerating economic growth beyond the pandemic.

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