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

The Impact of SOLAS on Ocean Shipping and Data Management

Talking Logistics

The Regulation’s Impact on Ocean Shipping and Data Management. The Regulation and Data Management. However, in today’s information-driven supply chain, data often flows in parallel with the passage of freight. The IMO will not assess penalties since any fines would be levied at the national-level.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Get More Out of Your Transportation Management Strategy Amid COVID-19

EnVista

On February 17, 2020, enVista had the pleasure of speaking amongst hundreds of supply chain professionals at the Omnitracs Outlook Conference, where we kicked off the morning with a presentation on trends in transportation management.

article thumbnail

Robots Take Center Stage at MODEX 2024

Logistics Viewpoints

The robots can perform various tasks, such as transporting goods, picking orders, sorting items, and replenishing inventory. They also enable faster integration, deployment, and updates of WES, as well as better data management and analytics.

article thumbnail

Digital Transformations Require Clean, Accessible, Up to Date Data

Logistics Viewpoints

This is also a data issue. Master data management (MDM) as a critical performance driver for the enterprise. What is Master Data Management? Master data management is the discipline in ensuring data is accurate, accessible, and up to date. Achieving Data Mastery. They offer several tips.

Data 196
article thumbnail

What Supply Chain Data Should I Track in 2020?

GlobalTranz

Supply chain data management requires attention to detail and a mechanism in place that provides analytics, or insights, to gain actionable knowledge. Risk exists around data when it is incorrectly or inaccurately collected and shared. The post What Supply Chain Data Should I Track in 2020?

Data 195
article thumbnail

Supply Chain Planning In Excel: A Perilous Path

Logility

Limited Data Handling Capabilities Excel is a versatile tool for basic data management and analysis, but when it comes to handling vast amounts of complex supply chain data, it falls short. Supply chain planning involves numerous variables, such as demand forecasts, inventory levels, lead times, and production capacities.