Archive for Big Data

Demand Management Solutions Continue to Consume More and More Data!

There are a lot more demand forecasts being made today at companies then their used to be. Many of these forecasts depend upon having more data. Traditionally, demand management applications used order shipment history to make forecasts. But gradually new data sets were added that improved the forecasting accuracy. A demand management application can truly be a Big Data solution today.

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DHL Supply Chain’s Massive Investment in Emerging Technologies

DHL Supply Chain recently announced plans to deploy emerging technologies in 350 of its 430 facilities in North America. This is a $300 million investment. ARC had an opportunity to dive deeper into these investments with DHL’s North American leadership team.

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Using Big Data to Improve Your Supply Chain

The term “big data” has been one of the hottest buzzwords over the last couple of years, and that’s not a big surprise. Statistical science and data analytics can help organizations (of any size and type) obtain historical measurements and generate actionable information that increases supply chain visibility, drives operational efficiency and supports overall growth. But knowing the importance of having access to data is only the first step. Organizations need to have the right […]

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Key Supply Chain Trends to Follow in 2017

The problem with trends is that they are like a freight train gaining speed; everyone can see the train, but at what point do you say the train is really moving at speed? With that in mind, here are the trends I’m following and the predictions I am making.

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What Does Demand Sensing Teach Us About IoT Projects?

If demand management teaches us anything about learning to leverage the Big Data generated by sensors, it is that leveraging IoT data is likely to be a lengthy maturation process.

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Using Analytics to Predict Which Truck Drivers Will Have an Accident

Predictive analytics are being employed in interesting new ways to improve safety. Telematics solutions have long monitored events like hard braking and speeding to flag unsafe driver behaviors. But today, this driver event data is being enriched with other data streams to actually predict the likelihood of a specific driver having an accident. Omnitracs’ Critical Event Reporting is one such solution. According to Kevin Haugh, Chief Strategy and Product Officer for Omnitracs, “These are sophisticated […]

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Predictive Analytics Comes to the Logistics Industry

In logistics, we have not seen all that many examples of Big Data analytics. But it is clear we will see many more solutions in the not so distant future.

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Guest Commentary: How Do You Tackle Big Data?

There are a lot of hot topics swirling around the supply chain industry right now, but one that seems to be permeating almost every discussion is “big data.” And big data is big: Put simply, it’s the collection and integration of massive amounts of information that can’t be processed using traditional data processing applications. This could include everything from inventory details to customer emails to fulfillment statistics. Just the thought of working with and integrating […]

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Facebook Graph Search, Through a Supply Chain Lens

There were plenty of rumors about what Facebook was going to announce yesterday, everything from the launch of a Facebook phone to the introduction of a “Dislike” button. But the big announcement was about Graph Search, “a new way for you to find people, photos, places and interests that are most relevant to you on Facebook.” While traditional search tools were designed to search the Web, Graph Search was designed to search a social network […]

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Supply Chain and Logistics Predictions for 2013

Predicting the future has never been easy. Back in 1943, Tom Watson, the president of IBM at the time, said “I think there is a world market for maybe five computers.” And in 1995, Robert Metcalfe, the founder of 3Com and the co-inventor of Ethernet, made this astonishing prediction: “Almost all of the many predictions now being made about 1996 hinge on the Internet’s continuing exponential growth. But I predict the Internet will soon go […]

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