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10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain

Logistics Viewpoints

Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.

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10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain

Logistics Viewpoints

Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.

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The Emergence of Supply Chain Data Fabrics

Logistics Viewpoints

The company aims to change this with the expansion of its data fabric portfolio. A supply chain data fabric can help companies augment their supply chain processes. Now companies are trying to collect data from multiple tiers of a supply chain in near real-time. Decisions need to be digitized.

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Context. The Key to Unlocking the Power of Your Supply Chain Data Strategy

Logistics Viewpoints

Our daily lives are inundated with data. Supply chain teams face a similar dilemma – companies are overloaded with vast amounts of data, and the ability to sift through the noise and focus on relevant insights has become a critical capability. Why Context Matters Context transforms data into actionable insights.

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How One Manufacturer Used GEP SOFTWARE To Save $45M in Direct Material Sourcing

In response to these challenges, a leading heavy equipment manufacturer selected GEP to redesign its source-to-contract processes and implement a convergent data model to help manage procurement data across its multiple locations.

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AI Risks Include Data Poisoning and Model Corruption

Logistics Viewpoints

These are big data platforms that monitor news sources and assorted databases from governments, financial institutions, ESG NGOs, and other sources to detect when an adverse event has occurred or may be about to occur. Most argue that when the UI is trained with the companys own data, the risk of hallucination is small.

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Schneider Electric Drives Supply Chain Transparency Through Environmental Data

Logistics Viewpoints

Schneider Electrics new Environmental Data Program gives logistics professionals unprecedented access to carbon and sustainability metrics, covering over 70% of its product turnover. This move empowers companies to make more informed sourcing decisions, comply with ESG standards, and build greener operations.

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How to Avoid the Pitfalls of Contract Management in Telecom & High-Tech

What’s Inside: Exploring the importance of having a dedicated buy-side contracting team Leveraging tools to enhance efficiency and empower the legal and sourcing teams Establishing processes to gather and analyze contract data to spot trends

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Autonomous AI Agents Are the Future of Procurement and Supply Chain Operations

They integrate reasoning with LLM inputs so that employees can provide directions in natural language and the agents will pull data and interact directly through internal systems and external stakeholders. To learn how exactly autonomous AI agents will transform source-to-contract and procure-to-pay, read this whitepaper now.

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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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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Five years ago, they may have. But today, dashboards and visualizations have become table stakes.

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15 Modern Use Cases for Enterprise Business Intelligence

Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations.

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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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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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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.