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Staying Ahead with Advanced Analytics in Supply Chain Management

Logility

With improving machine learning and artificial intelligence capabilities, advanced analytics are shifting, becoming a more attractive option to leaders across industries. But how can you incorporate advanced analytics into your supply chain flow? What Are Advanced Analytics? What Are the Benefits of Advanced Analytics?

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Big Data, Analytics, and Industry 4.0

Enterra Insights

Despite years of discussion about the fourth industrial revolution (aka Industry 4.0), the revolution remains in its infancy. They write, “Industrial production was transformed by steam power in the nineteenth century, electricity in the early twentieth century, and automation in the 1970s.”[1] ”[3] In the Industry 4.0

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Give Analytics A Chance

Supply Chain Shaman

We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Fourteen of twenty-eight industries have rising inventories. In contrast, the balance of the industries lacks supply. Invest in analytics to sense and translate demand. Supply is greater than demand.

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Give Analytics A Chance

Supply Chain Shaman

We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Fourteen of twenty-eight industries have rising inventories. In contrast, the balance of the industries lacks supply. Invest in analytics to sense and translate demand. Supply is greater than demand.

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The Hitchhiker’s Guide to Embedded Analytics – 4 Mission-Critical Steps to Take on Your Analytics Journey

Left untouched or without the right analytics solution, your data provides little value to you. But, when combined with analytics, it delivers endless insights and opportunities for your end users. Based on insights derived from industry professionals, this e-book uses first-hand experiences to help inform your analytics strategy.

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Supply Chain AI Strategy: Navigating Apparel Industry Complexities

Logility

The Apparel Industry’s Forecasting Maze Mastering the art of forecasting is critical in the apparel industry. Navigating Complexity with AI-First Forecasting AI-first forecasting leads the charge in predicting market trends and consumer behavior, adeptly handling the complexities of forecasting in the apparel industry.

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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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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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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Brought to you by Logi Analytics.

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Common Use Cases for Mathematical Optimization

Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. What are some of the most common use cases for mathematical optimization across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions and build more resilient supply chains?

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Guide to Mathematical Optimization & Modeling

Today, a growing group of analytics teams and data scientists are adopting mathematical optimization to support business decision-making in a wide range of industries. Want to find out where optimization falls in the broader AI and business analytics spectrum. Are evaluating tools and implementation approaches.

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Embedded Analytics: A Force Multiplier for Business

The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.

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How Data Analytics Can Solve the Challenges Faced by SC Leaders in Discrete Manufacturing

From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Manufacturers in these industries face several unique challenges: Labor and material shortages halting production. Difficulty forecasting demand due to constant supply chain disruptions.

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Prove ROI and Make the Business Case for Industrial Content Marketing

Speaker: Achinta Mitra, Founder and President, Tiecas Inc.

It's the plight of an industrial marketer: over the course of a 12-18 month long buying cycle, you make contact with a whole host of influencers who read your content.who may or may not actually work in purchasing. You'll learn: How to measure your content's value - no matter how comfortable you are with analytics and data.