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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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Four Ways of Using Cluster Analysis in Retail Management to Improve Sales

Logistics Viewpoints

For companies that want to go beyond the traditional spreadsheet, which cannot handle this ocean of information efficiently, statistical methods such as cluster analysis can help. What is Cluster Analysis? Cluster analysis is a statistical umbrella term for methods that classify data points according to their attributes.

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The Big Supply Chain Analytics Failure

Supply Chain Shaman

New forms of analytics abound. Supply chain leaders struggle with the adoption and use of new forms of analytics. Only one in two are satisfied with their success in using analytics. Analytics Success by Business Leaders. Terms like ontology, sentiment analysis, python and nosql are unknown to 80% of business leaders.

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The Big Supply Chain Analytics Failure

Supply Chain Shaman

New forms of analytics abound. Supply chain leaders struggle with the adoption and use of new forms of analytics. Only one in two are satisfied with their success in using analytics. Analytics Success by Business Leaders. Terms like ontology, sentiment analysis, python and nosql are unknown to 80% of business leaders.

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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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The Three Types of Supply Chain Analytics

The Smart Software

In this video blog, we explore the critical roles of Descriptive, Predictive, and Prescriptive Analytics in inventory management, highlighting their essential contributions to driving supply chain optimization through strategic foresight and insightful data analysis.

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The Big Supply Chain Analytics Failure

Supply Chain Shaman

New forms of analytics abound. Supply chain leaders struggle with the adoption and use of new forms of analytics. Only one in two are satisfied with their success in using analytics. Analytics Success by Business Leaders. Terms like ontology, sentiment analysis, python and nosql are unknown to 80% of business leaders.

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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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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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How to Build Data Experiences for End Users

Product managers need to research and recognize their end users' data literacy when building an application with analytic features. End users fall into 4 different categories along the data literacy continuum when it comes to their skill level with data: Data challenged: Users have no-to-low levels of analytics skills or data access.

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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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Gartner's Market Guide for Data Analytics and Intelligence Platforms in Supply Chain

Gartner observes several trends in this market for data analytics and intelligence. One overarching theme is the convergence of analytics & BI, data science and AI. This report covers market analysis on: Supply chain specific market trends - what are supply chain organizations looking for?