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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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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. To manage continuous improvement, companies need a clear definition of excellence and organizational alignment to that goal. They do not excel in planning or forecasting.

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Top Supply Chain Challenges for CPG companies in 2023

Logistics Viewpoints

This is because most classical planning solutions lack the modeling capability and computing power to accommodate different data sources, large SKU count, and detailed constraints and contingencies to build an immediately executable plan. each with discrete plans generated typically in sequential batch runs.

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Market Beat. Four Thumbs Down and One Thumb Up.

Supply Chain Shaman

Today, supply chain excellence matters more than ever. The discipline, first defined in 1982, includes source, make, deliver, and planning functions. Until there are clear answers, business leaders should avoid buying software from companies with deep investments by venture capitalists. Kinaxis Purchase of Rubikloud.

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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? Or a unified data model across source, make, and deliver for planning? The So What And Who Cares? Stay tuned.

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A Treatise on Dogs That Do Not Hunt

Supply Chain Shaman

As an old gal attending multiple conferences (more than I would like at times), I have listened to speakers waft eloquently about the value of concepts like networks, big data, industry 4.0, similarly, over 95% of manufacturers invested and implemented supply chain planning, but their primary tool today is Excel.