2030 Big Data Manufacturing Procurement Supply Chain Visibility 
Supply Chain Shaman
MARCH 20, 2016
There is a great need for improved supply chain analytics. The pace of solution evolution is moving quickly, and it is hard for supply chain leaders to keep up. As shown in Figure 2, these analytical architectures span structured and unstructured data sources and drive new insights. New names abound.
Supply Chain Shaman
APRIL 7, 2016
I am a manufacturing gal by training. Supply chains respond, but they do not sense. I strongly believe that leaders must build their supply chains with new building blocks. This requires bi-directional communication between trading partners in the value chain. Figure 1: Current Levels of Visibility.
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Supply Chain Shaman
NOVEMBER 27, 2016
The SAP acquisition of Ariba slowed innovation and the purchase, and then the failed promise of investment in Crossgate was disappointing to SAP supply chain business users. ” In the state of Texas they have an expression I think is fitting for the Elementum solution: It is, “Big hat, but no cattle.”
Supply Chain Shaman
SEPTEMBER 17, 2017
Last week I spoke at the CLX Logistics Conference in Philadelphia on the future of Supply Chain Management. This includes: Sensors coupled with data from the Internet of Things (IOT). Open Source Technologies (Examples include Hadoop, Spark, Kafka). Localized manufacturing. It is about more than data sharing.
Enterra Insights
DECEMBER 23, 2020
.”[3] Mariia Deresh, a content provider at PLS Logistics Services, adds, “After the pandemic hit, everyone is talking about building resilience … but behind resilience, there is supply chain visibility. ” Durbha adds, “In 2020, we have seen a number of companies pledge to be carbon neutral by 2030.
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