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Lifting The Gray Curtain

Supply Chain Shaman

As Allyson presented her story of working for multiple consumer products companies, with very advanced technologies (demand sensing, advanced automation of forecasting, data lakes and descriptive analytics), she spoke of why at the end of the day, the most important technology that she uses is Excel. ” Her answer was telling.

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Top 15 Logistics Blog Posts of 2014

GlobalTranz

We continue our top blog posts of 2014 from our main categories today by focusing on something at Cerasis we are experts in : Logistics. In fact, the logistics space is so broad, we couldn’t give you only the top 10 blog posts of 2014, but we had to include the top 15. Top 15 Logistics Blog Posts of 2014.

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Handfield’s Supply Chain Analytics Predictions for 2014

Supply Chain View from the Field

I’ve had the good fortune to be presented with opportunities for compelling discussions with a significant group of leading thinkers, senior executives in procurement, logistics, and technology management over this past year. Not surprisingly, analytics is at the top of the list.

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Holding Ourselves Accountable for Business Results

Supply Chain Shaman

Enterprise resilience–the ability to have consistent balance sheet returns despite market volatility– decreased starting in 2014. In general the ERP technology providers underperformed, and the investment was an opportunity cost to the adoption of new forms of analytics and building effective business networks.

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Insights from Elemica reveal 2014 Frankfurt

Talking Logistics

That was my opening question to the executives attending last month’s Elemica reveal 2014 Conference in Frankfurt. Meanwhile, the Red Sox won the World Series in 2013, going from worst to first in one year — and then back to worst in 2014. As I wrote earlier this year in Is Your Business Model Safe? ,

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Market Beat. Four Thumbs Down and One Thumb Up.

Supply Chain Shaman

On September 30, the big data company Palantir went public in an initial 22B$ market valuation. I am frequently asked, “Can a big data data science company help to alleviate the current market pain in the supply chain?” Data science is only useful when companies are clear on the question to ask. Palantir IPO.

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Causal Artificial Intelligence and Supply Chain Performance

Enterra Insights

With the maturation of artificial intelligence (AI) systems, predictive analytics have grown in importance. The difference between traditional forecasting and predictive analytics is granularity. In contrast, forecasting provides overall aggregate estimates, such as the total number of purchases next quarter.