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Mining Supply Chain Data for Insights

Supply Chain Shaman

Over the course of the last quarter, with the help from Cloudera, we built a data lake of with data from 1449 public companies. We loaded 493 financial metrics from balance sheets and income statements for each company into the data lake for the period of 2004-2016 using YCharts data. The analysis was industry-specific.

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Trying to Push Content Above the Noise

Supply Chain Shaman

The month of December was my longest writing respite since I started this blog in January 2010. I questioned in this time of uncertainty if supply chain leaders will value data-driven content. We speak of data latency, but do not measure the impact on performance. There is a constant battle between noise and data-driven content.

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Supply Chain Leaders Rearranging Deck Chairs? Yes, I Think So.

Supply Chain Shaman

Comparing 2010-2019. Aggregate Results for Apparel Manufacturers for the Period of 2010-2019. Aggregate industry sector results were better in 2000, and 2010 than in 2019. Comparison of 2010 and 2019 Industry Sector Results for Operating Margin and Inventory Turns. I am trying to do it, one person, at a time.

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AI This. Not So Fast.

Supply Chain Shaman

Orbit Chart of TJX Versus Peer Group for the Period of 2010-2019. Orbit Chart for Ecolab at the Intersection of Inventory Turns and Operating Margin Versus the Chemical Industry for the Period of 2010-2019. Data science and cloud-based delivery offer promise, but supply chain planning is morphing slowly. The reason?

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Looking Beyond Red Arrows

Supply Chain Shaman

” Many will initially shake their heads “yes”, but upon a closer look at the data, they admit that they are stuck. Reader’s note, the way to reach this chart is to first identify the average value for the metric for the period of 2010-2016. The growth rate of 2016 when compared to 2010 is an increase of 28%.

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Supply Chain Diagnostic: A Four-Step Process

Supply Chain Shaman

We draw a timeline on a conference room wall and using customer shipment and compliance data, we plot the issues with customer service and product outages. I ask, “ Do you have data that could be used to alleviate the issue in the future?” ” Or alternatively, “Is there data that could be sourced to help?”

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Editor’s Choice: Tips for Trucking Companies to Decrease Their Insurance Premiums

Logistics Viewpoints

As an example, from data taken from the ATRI report, in 2020 a small fleet of fewer than 20 trucks would have paid about three times as much as a large fleet with more than 1,000 trucks. In 2010, the average-sized verdict for a crash involving a truck was $2.3 Agencies Advocate Tort Reform. By 2018, the average grew to $22.3