The tsunami of big data created by the Internet of Things (IoT) demands that companies employ intelligent data management techniques to separate the wheat from the chaff, or find the ‘good data’.

Posted on SupplyChain Digital | By Dan Brightmore

Adding to the fact that 90% of the world’s data has been created in the last few years alone, it’s vital that businesses grasp meaningful insight from data and analytics – but what key areas should be focusses on for best results, and how could this enhance the backbone of your company, the supply chain?

Embrace machine learning

With IoT set to exponentially increase the amount of available data as billions of devices activate and connect online, companies will need to turn to machine learning. Daniel Newman, founding partner of Futurum Research and CEO of Broadsuite Media Group, warns it will be simply too much for humans to handle alone. Machine learning can eliminate data junk and “keep data lakes clean and consistent”, even when it comes to unstructured historical data, he says.

As the digitization of supply chains becomes ever more the norm, we asked the experts how to manage big data and deliver actionable insights across all sectors

Read entire article In-depth: How can enhanced data and analytics optimize your supply chain? | SupplyChain Digital

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