Data Driven Manufacturing: Benefits,...

Optimizing Production Efficiency through Data-Driven Manufacturing Strategies Although diverse data capturing technologies exist, manufacturers still struggle to use them. It's due to this major

MachineMetrics Manufacturing data manufacturing analytics / Jul 02, 2020

MES vs. IIoT Platform: Why Not Both?

Is an MES or IIoT Platform (or Both) the Best Option for You? The increasing use of industrial automation in process and discrete manufacturing facilities have put the manufacturing execution system

IIOT MachineMetrics MES / Jun 25, 2020

A Manufacturer's Guide to Edge Computing

Below is what we will cover in this in-depth article on edge computing in manufacturing. Select a link if you would like to jump to a particular section: An Introduction to Edge Computing in

MachineMetrics / Jun 17, 2020

Big data to learn about customers

Graham Immerman Big Data / August 15, 2017

As time passes and businesses look for ways to increase their worth, the applications of big data analytics continue to flourish in new arenas, such as customer insight. Even as new consumption channels develop, retail sales continue to increase, and with increased consumption comes increased opportunity to learn about a growing, changing consumer base. Big data analytics play an important role in customer insight, through purchase recommendations, customer initiatives, market basket analysis, and more. The ability to learn about a consumer base is extremely valuable, and companies are beginning to realize big data offers what they need to successfully maintain business in an unstable market.

7 CMO Rules To Crack Big-Data Customer Insights

Source: https://cmo.adobe.com

he overall trend for retail sales volume is up, despite considerable disruption to the channels consumers use to make purchases. Total retail sales are expected to grow 3.7% to 4.2% in 2017, driven in large part by online sales, which are forecast to grow 8% to 12% this year.[1] Read More

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Big Data next year

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How BMW is using big data

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Big Data / August 15, 2017

Big data to learn about customers

7 CMO Rules To Crack Big-Data Customer Insights

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