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Navigating the Future: How Advanced Supply Chain Analytics is Transforming the Industry

ThroughPut

is advanced supply chain analytics. Advanced supply chain analytics is turning the current uncertainty into strategic foresight. In this blog, we’ll delve deeper into the potential of advanced supply chain analytics and understand why it is the need of the hour.

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How To Jump

Supply Chain Shaman

Let’s start with definitions: Self Service Planning: Decision support technologies designed for business leaders to use analytic techniques on a collaborative platform to improve business planning. Outside-in Planning: Modeling based on channel and supply network signals. This week, I was at Informs Analytics Conference.

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Lifting The Gray Curtain

Supply Chain Shaman

Allyson Hatfield, demand planner at MARS Petcare presented. At the end of the presentation, I asked Allyson her perspective on open source analytics. My question was, ” Would the world of Python, R, and NoSQL offer for an improved modeling environment with a digital twin deployment. ” Her answer was telling.

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Student projects focus on supply management segmentation, risk analytics, and predictive cost models.

Supply Chain View from the Field

My MBA 541 students presented results from their projects this semester. Companies are clearly using many more criteria other than cost and delivery to evaluate suppliers, indicating they are willing to pay a bit more if they are able to get better overall value from suppliers. This category has a weight of 25% towards the final score.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Track the Supply Chain Metrics that Really Matter

Precoro

To monitor supply chain performance, stakeholders of successful companies typically define supply chain metrics that are relevant to the given business and track these KPIs regularly. By setting benchmarks for metrics, analysts can recognize unsettling trends and take preventive measures on time.

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The expanding scope of procurement analytics: Some initial thoughts

NC State SCRC

Procurement analytics, which supports decision making in procurement management, typically handles problems and decisions that are related to cost reduction, supplier management, cost modeling, procurement-led innovation, market strategies, supply chain risk, and stakeholder value improvement (Handfield, Jeong, and Choi 2019).