article thumbnail

Analytics Platforms Empower Better Logistics Data Management & Decisions

Intelligent Audit

Logistics data management remains essential to keeping the supply chain network profitable. However, many management teams still struggle with this concept. Learning to take advantage of logistics data management can help ensure success in 2021. The Problem With Decisions Made Based on Old or Raw Data.

article thumbnail

Requis Analytics: Procurement Intelligence

Requis

As data volumes and complexity grow, procurement professionals increasingly recognize the need for accurate and transparent data management. This is essential for managing equipment flow, selecting suppliers, negotiating contracts, and mitigating risks.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Big Data, Analytics, and Industry 4.0

Enterra Insights

He observes, “For many manufacturing and supply chain organizations, the Covid-19 pandemic highlighted multiple shortcomings in their data management strategies. ” Data and Advanced Analytics in Industry 4.0 Industry 4.0 4] Venkat Viswanathan, “ Are You Wasting Perfectly Good Data? revolution.

article thumbnail

Using Analytics To Address Supply Chain Challenges

Silvon Software

To address these issues, manufacturers and distributors are focusing more on the use of data analytics to help them make more strategic decisions related to supply chain performance. But how can organizations best use data analytics to enhance their supply chain management efforts?

article thumbnail

GEP Procurement & Supply Chain Tech Trends Report

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.

article thumbnail

Advanced Analytics Are Everywhere!

Logility

Analytics are literally everywhere. Open any supply chain periodical, blog, or report and chances there is a discussion around the importance of analytics. An important goal of a supply chain analytics initiative is to enable better business decisions that improve operating results and allow you to be more responsive to customer needs.

article thumbnail

Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?