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

Enterra Insights

You often read about the four “V’s” of big data. erniauskas ( @juliuscern ), CEO at Oxylabs, writes, “Big data is often differentiated by the four V’s: velocity, veracity, volume and variety. They are the four Vs of Big Data.”[3]. The Seven Big Data V’s.

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Transversing the Paradox River

Supply Chain Shaman

Definition As I follow the evolution of supply chain technology, I am struck by what I see as a stream of paradox and anomaly, and the tendency of supply chain leaders to cling to convention. technologies. Companies have data lakes, but do not use their own data. I constantly ask myself, why?

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Are You Caught in Word Salad Dribble?

Supply Chain Shaman

While consultants know the answers (or believe they do), I believe my goal as a research analyst is to unearth new questions that should be asked (and answered together openly in the supply chain community) to improve value. This is why I host training twice a year to challenge existing technology paradigms. Back to John.

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Improve Supply Chain Strategies with Digital Twin Technology

Enterra Insights

The emergence of artificial intelligence (AI) technologies, particularly digital twin technology, is making it much faster for organizations to explore hundreds of scenarios in very little time. ”[1] That simple sentence is packed with information. ”[1] That simple sentence is packed with information.

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Top Solutions for Supply Chain Agility

Logistics Viewpoints

Digital Twin from Infor Nexus Drives Supply Chain Agility. When it comes to driving supply chain agility there are several solutions that are important, but the key solution is a Multi-enterprise Supply Chain Network (MSCN). But even in more normal times, a supply plan usually can’t be fully executed.

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[Infographic] Big Data Analytics in Supply Chain

GlobalTranz

Editor's Note: Today's blog is from our friend Derrick Rehn with FusionOps who shows us how big data analytics can benefit you in your supply chain. . As big data analytics offer a sizeable competitive advantage for many industries, the drive to deliver cutting edge innovation in data analytics is ever increasing.

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Conquering the Explosion of Supply Chain Planning Data

Logility

However, to capture these benefits requires the right people, process and technology capabilities to extract the insights within the data. This article will discuss the opportunity generated from the explosion of supply chain planning data and the necessity for digital supply chain transformation.