Analytics Related Topics 
The Logistics of Logistics
NOVEMBER 5, 2024
Ken is the Chief of Analytics at DAT Freight & Analytics. About Ken Adamo Ken Adamo serves as the Chief of Analytics at DAT Freight & Analytics. Prior to his career in logistics, Adamo worked in pricing and analytics at a deregulated energy provider.
Logistics Viewpoints
MARCH 11, 2025
This provides a data foundation to optimize medical and supply fulfillment to limit procedure cancellations along with real-time data analytics. This provides a data foundation to optimize medical and supply fulfillment to limit procedure cancellations along with real-time data analytics.
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Logistics Viewpoints
NOVEMBER 11, 2024
Data fabrics need to work across an AI and Analytics lifecycle. Mr. Masson says the analytics lifecycle includes: Managing Data : Creating a business-ready analytics foundation by integrating and standardizing data across systems. A data fabric refers to an architecture that supports a unified approach to data management.
Logistics Viewpoints
NOVEMBER 6, 2024
Advanced data analytics can transform the high volume of data generated by IoT sensors into actionable insights that drive operational improvements. Real-time analytics supports immediate adjustments in route planning and maintenance scheduling, optimizing fleet operations and reducing costs.
Advertiser: GEP
The C-suite is laser-focused on supply chain performance. This GEP-sponsored report will show you how to leverage data for a collaborative supply chain that delivers results and how to future-proof supply chain management strategies.
Logistics Viewpoints
MARCH 26, 2025
AI as a Predictive Tool AI-driven supply chain planning integrates machine learning, real-time data analytics, and external risk monitoring to anticipate disruptions before they materialize. Predictive analytics in manufacturing detect potential equipment failures, reducing production downtime.
Logistics Viewpoints
NOVEMBER 20, 2024
Technologies such as artificial intelligence, IoT, and predictive analytics enable smarter inventory management, real-time tracking, and predictive maintenance, reducing waste and costs. This pillar is about creating value, reducing risks, and positioning the organization for long-term success.
Advertiser: GEP
Today, just 8% of companies have the digital maturity required to achieve resilience and mitigate supply chain disruptions, as per a new HBR Analytic Services - GEP study. What can enterprises do to accelerate digital transformation? Read the full report now to find out!
Advertiser: GEP
Read the new GEP-sponsored report by Harvard Business Review Analytic Services for strategies and digital solutions to achieve these goals. Supply Chains have 3 key priorities: building resiliency, reducing costs and driving ESG performance.
Advertiser: GEP
What’s Inside: How CPOs are driving strategic decision-making and technology adoption The top priorities and challenges for procurement in 2025 Why AI, sustainability, and data analytics are essential for success Read this essential report to chart your path forward and influence procurement tools and processes.
Advertiser: GEP
From engaging with your supply chain to integrating advanced analytics and reporting, this paper charts a clear path to compliance and leadership in corporate sustainability. It’s no surprise that enterprises still struggle to track and manage these emissions. '10
Advertiser: GEP
2024 GEP Procurement & Supply Chain Tech Trends Report — explores the biggest technological trends in procurement and supply chain, from generative AI and the advancement of low-code development tools to the data management and analytics applications that unlock agility, cost efficiency, and informed decision-making.
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As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. The longer you wait to modernize your application’s analytics, the harder you’ll eventually feel the pain of lost customers and missed revenue. Download the eBook to get started today!
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Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
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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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