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Getting Smart With Logistics Big Data

Freightos

And, like many other logistics startups , we’re particularly enthusiastic about how Big Data can change the way goods are moved around the world. Getting Smart With Logistics Big Data. This naturally leads to a next step of the big data/logistics pairing — visualization. Fundamental Feature.

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How Big Data Analytics is Revolutionizing Sourcing Processes for Walter Charles III

Jaggaer

Big Data” is everywhere. The value of quality data has never been higher, and the power to process that data is more readily available than ever. To better understand the impact of big data analytics on procurement, we turned to industry veteran Walter Charles, CPO at Allergan, who sees big data as a major disruptor.

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How Big Data Analytics is Revolutionizing Sourcing Processes for Walt Charles

Jaggaer

Big Data” is everywhere. The value of quality data has never been higher, and the power to process that data is more readily available than ever. To better understand the impact of big data analytics on procurement, we turned to industry veteran Walt Charles, CPO at Allergan, who sees big data as a major disruptor.

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Market Beat. Four Thumbs Down and One Thumb Up.

Supply Chain Shaman

Today, supply chain excellence matters more than ever. Until there are clear answers, business leaders should avoid buying software from companies with deep investments by venture capitalists. On September 30, the big data company Palantir went public in an initial 22B$ market valuation. Kinaxis Purchase of Rubikloud.

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What Does Good Look Like S&OP?

Supply Chain Shaman

Clear operating strategy and definition of supply chain excellence across plan, source, make and deliver. Most companies buy decision support technology, but do not redefine work to improve decisions. What Does Good Look Like? For me, there are ten characteristics that define a great S&OP process: Clear and Actionable. Governance.

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Are You Caught in Word Salad Dribble?

Supply Chain Shaman

days to receive a purchase order confirmation. The average purchased order changes 3.5 As shown in FIgure 1, the fourth node is the COV of materials in planned orders/COV of purchase orders. In our research, we find that 32% of volume is manufactured by a third party. On average, it takes 2.8 Bullwhip Amplification.

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Do You Need a Graph?

Supply Chain Shaman

Like Linus clinging to his blanket, supply chain teams make most of their decisions on Excel spreadsheets. Isn’t it ironic that a relational database is poor for mining data about multi-tier relationships? Demand latency (the time from purchase by the customer to order visibility by the manufacturer) is weeks and months.