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Make vs Buy Analysis in Supply Chain Management: A Strategic Guide

SCMDOJO

Make vs Buy Analysis is an essential decision-making tool in supply chain management that significantly influences profitability, flexibility, and competitiveness. It helps businesses decide whether to produce goods internally (make) or source them externally (buy), weighing costs, quality, scalability, and capacity.

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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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Inflation + Source-to-Pay Strategies: The Cure for the Common Price Hike

ivalua

One way of doing this is by leveraging Source-to-Pay (S2P) solutions, which can provide procurement with the tools needed to manage their supplier relationships and identify opportunities for cost savings. S2P: Where to Start Ivalua provides a comprehensive set of integrated solutions that span the entire Source-to-Pay lifecycle.

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Let’s Get Digital: Introducing your Source-to-Pay Guide

ivalua

A comprehensive Source-to-Pay platform is a critical component of an organization’s IT environment. What is Source-to-Pay? The Source-to-Pay process itself is quite broad but it covers most if not all the aspects of a procurement organization, at least from a process and technology perspective.

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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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Unlocking Insights with Life Cycle Inventory Analysis

SCMDOJO

A comprehensive analysis of the energy and material inputs, outputs, and environmental impacts associated with a product’s life cycle, LCI helps us unlock valuable insights into sustainable practices. This data is typically collected from a variety of sources, including industry databases, government reports, and primary research.

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Freight Cost Volatility Impacts on Inflation – An Analysis

Freightos

Sources: U.S. Well, an analysis of US import container volumes 1 as a share of consumer spending 2 in 2021 and 2022 to date implies that every $1,000 in ocean freight costs per forty-foot container accounts for 0.09% of personal consumption expenditures each year. Between May and September of 2021 alone rates tripled.

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How to Package and Price Embedded Analytics

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

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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. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Supply Chain Network Design: The Ultimate Use Cases eBook

Scenario analysis and optimization defined. Diversifying sourcing and manufacturing. Creating a strategic digital twin (digital representation) of your supply chain network. Modeling your base case. Optimizing your supply chain based on costs and service levels. Modeling carbon costs. Dealing with multiple capacity constraints.