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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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Predictive Analytics: Supply Chain’s Cloudy Crystal Ball

Enterra Insights

Not surprisingly, companies that employ advanced analytics to improve decision making and execution have the results to show for it.”. One of the new tools available to decision makers is predictive analytics. Leveraging predictive analytics is as close as business leaders will come to having a crystal ball.

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Digital Transformation in Logistics

Logistics Viewpoints

ARC Advisory Group, where I work, publishes an analysis of the 25 manufacturers with the most mature digital transformations. APQC Digital Transformation in Logistics Results On average, respondents report allocating 14 percent of their logistics and warehousing annual budget to technology.

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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?

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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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Data Analytics: The Secret Ingredient to Efficient Inventory Management

RFgen

The role of data analytics in optimizing inventory management processes has become increasingly important. Analytics help organizations make smarter decisions, reduce costs, and improve customer satisfaction. But your analytics is only as good as the underlying data. That’s why most inventory handlers leverage data.

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How Can Manufacturers Manage Disruption and Improve Productivity?

Logility

How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.