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Big Data Analytics to Improve Supply Chain Resilience

GlobalTranz

And, investment statistics reveal an increasing trend for more technology to enable multi-modal shipping and the application of big data analytics to increase scalability, flexibility, and demand-driven management decisions. According to a 2017 survey of supply.read More.

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There are Seven, not Four, Important Big Data V’s

Enterra Insights

Today, it’s not people but data that tops the asset value list for companies.”[1] 1] If data is indeed a company’s most valuable asset, then business leaders need to understand what makes data valuable. You often read about the four “V’s” of big data. They are the four Vs of Big Data.”[3].

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Big Data is Gold

Enterra Insights

Alex Toma ( @alexbreakline ), a digital marketing specialist, writes, “Data has always been fundamental to the success of digital.”[1] ”[1] Few business leaders need convincing that so-called “big data” is an asset for their company’s operations. ” The business benefits of big data.

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Questioning the Relevance of Big Data

Enterra Insights

Other people view the digital age, connectivity, and big data through a more skeptical eye. Add to that a Capgemini study that concluded “the majority of big data projects don’t glean sufficient insights to be labelled profitable” and it could make you question the relevance of big data.[2]

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[WEBINAR] Why Supply Chain Leaders are Using Big Data Analytics

GlobalTranz

We invite you to register and attend our educational webinar titled, “Why Supply Chain Leaders are Using Big Data Analytics” presented on Feb. 28, 2017, at 11:00 am ~ 12:00 pm CST. As a result, business leaders can reap a significant return on investment by thoroughly analyzing this data. Time: 11:00 am ~ 12:00 pm CST.

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Big Data Analytics are Table Stakes for Digital Age Businesses

Enterra Insights

Big Data is still a useful statistician’s tool, and can be examined to gain intuition that leads to new hypotheses — but those hypotheses then need to be investigated with statistical rigor.”[3] ” Big data analytics use cases. The question is, analyzed for what purpose? They are: 1. ” 2.

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Digital Transformation: An Imperative for Industrial Manufacturing in 2017

GlobalTranz

Let’s take a look at four reasons why digital transformation is an imperative in 2017 for industrial manufacturers: 1. Harnessing Big Data. Technology has created an extraordinary amount of data ; within this data there is great opportunity, but it also can be overwhelming. Changing Consumer Expectations.