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Supply Chain Analytics: What It Is and Why It Matters

QAD

What is Supply Chain Analytics and Why is it Important? Supply chain analytics allows businesses to examine their operations and view data in real-time. With supply chain management analytics software, companies can improve decision making, take a proactive approach and quickly mitigate issues before they explode into bigger problems.

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A New Decade: Give Science A Chance

Supply Chain Shaman

An example for this client would be to use 2017 and 2018 history to forecast 2019. In short, his vision of an end-to-end supply chain was transactional: better processing of order-to-cash and procure-to-pay. Use data and new metrics systems to free the organization from the ball and chain of corporate politics.

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Happy Labor Day! Insights on Building Supply Chain Talent

Supply Chain Shaman

Labor day also signals the end of summer, and for many supply chain leaders the beginning of 2017 strategy discussions and intense S&OP debates to finalize Q3 and Q4 planning. Before I started doing this research, I believed procurement and manufacturing were aligned. Analytics Techniques for Supply Chain 2030. I was wrong.

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Top 5 Trends to Know to Compete with Amazon’s Supply Chain

GlobalTranz

Furthermore, the speed of operation of robots will increase more than 30 percent by the end of 2017. Clearly, robotics will become more important in 2017 than during any previous year. Technology Will Reshape Procurement Practices. Procurement strategy was not always evident. The Big Picture.

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Using Data to Improve Supply Chain Operations

Material Handling & Logistics

To extract its value, business leaders need analytical tools and sophisticated algorithms to refine raw data into insights that can drive better business decision-making. Mistrust of data and analytics tools is not just a supply chain and logistics issue. They also need to be confident that they can trust their data.

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Leonardo da Vinci and Supply Chain Management

Enterra Insights

They need a general understanding of everything from procurement of raw materials to customer service. It was a kind of harmony between analytical and creative thinking.”[3] Supply chain management requires analytical thinking. Successful supply chain professionals are by nature, mostly analytical thinkers.

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Manufacturing Gains From Machine Learning

IQMS

Manufacturer’s adoption of machine learning and analytics to improve predictive maintenance is predicted to increase 38% in the next five years according to PwC. Analytics and MI-driven process and quality optimization are predicted to grow 35% and process visualization and automation, 34%. PDF, no opt-in) 2017 Honeywell User’s Group.