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Why a Modern BI Platform is Needed for Predictive Analytics

Silvon Software

Predictive Analytics has emerged as a pivotal tool in this quest, offering unprecedented foresight into market trends, consumer behavior, and operational efficiencies. Data Quality and Integration At the heart of any predictive analytics model is data.

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Supply Chain Analytics: Benefits, Challenges & Architecture

SCMDOJO

Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?

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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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Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain? How should the supplier perform?

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The Top 5 Skills Every Procurement Manager Needs

Precoro

More and more companies are acknowledging the importance of centralizing and optimizing their procurement operations. One of the ways to accomplish this is to establish a procurement team to streamline ordering by centralizing purchases and improving supplier relations. What are the duties of a procurement manager?

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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. Using Analytics In the World of Gray.

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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. We call this AI-powered ability to predict near-term demand as demand sensing.