Leverage the power of the mainframe to make sense of your IoT data

Companies today face incredible challenges around compliance, security and analytics, as their data lakes fill with invaluable information from ever more sensors. And tomorrow’s challenges will be no easier. As the digital age expands to cover all facets of our lives, more and more computing power will be necessary to process all of the data created.

Take the explosion of Internet of Things (IoT) as an example. We have only sampled the benefits that the IoT can provide. In the words of Dan Mitchell, a retail analytics industry expert with SAS, IoT can be fundamentally described as “a network of connected physical objects embedded with sensors. IoT allows these devices to communicate, analyze, and share data about the physical world around us via networks and cloud-based software platforms.”

The concept of devices collecting data and sending it somewhere to be analyzed is not new. Heart monitors have been used for decades to collect and send data to cardiologists about the health of their patients’ hearts. But in a data-driven world, collecting data is only one part of the equation; the capability of analyzing this data in real time takes IoT to an exciting level. But the amount of data the IoT creates already, and will create in the future, is truly staggering.

Luckily, the speed and capacity of the mainframe, analyzing data across your entire enterprise in real time, means the mainframe can process your IoT data without a hiccup. I’ll explain what I mean.

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