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A New Era in Transport Logistics with Big Data and Self-Driving Trucks

Logistics Viewpoints

This is where big data technologies come into play. Big data for real-time optimizations in transport logistics. Logistics and transport service providers create enormous data records as they manage the flow of goods. Massive potential – thanks to big data combined with self-driving trucks.

Big Data 251
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There are Seven, not Four, Important Big Data V’s

Enterra Insights

Today, it’s not people but data that tops the asset value list for companies.”[1] 1] If data is indeed a company’s most valuable asset, then business leaders need to understand what makes data valuable. You often read about the four “V’s” of big data. They are the four Vs of Big Data.”[3].

Big Data 130
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Business’ Big Data Problem: Data Quality

Enterra Insights

If individuals working with data lose sight of why data is being gathered, stored, analyzed, and used, they offer slim value to the organizations for which they work. … Context is crucial when working with huge data.”[7] The post Business’ Big Data Problem: Data Quality first appeared on Enterra Solutions.

Big Data 130
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Multimodal Big Data Applications You Don’t Want to Miss

GlobalTranz

In the current age of automation in the supply chain, digital platforms, mobile apps, and inter-connectedness, it is more important than ever for shipping and logistic companies to keep up with the best multimodal big data applications available.

Big Data 177
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Hadoop and the Modern Data Supply Chain

With the advent of Big Data, companies now have access to more business-relevant information than ever before and are using Hadoop to store and analyze it.

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Big Data: A Valuable Forecast Tool to Future-Proof Supply Chains

Logility

“That disruption data is foundational for supply chain processes that companies build in the future.” Acquiring this repository of historical data and real-time information, known collectively as big data, has become a natural part of doing business.

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Big Data Analytics to Improve Supply Chain Resilience

GlobalTranz

And, investment statistics reveal an increasing trend for more technology to enable multi-modal shipping and the application of big data analytics to increase scalability, flexibility, and demand-driven management decisions. According to a 2017 survey of supply.read More.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Supply Chain 4.0: Why You Need to Digitize to Survive

Speaker: Laura Garcia, Sr. Editor at Supply Chain Digital and Procurement Magazines

During this webinar, we’ll discuss how to take an objectives-first approach and demystify some of today’s hottest tech such as IoT, AI, and Big Data and show you how they can help build resiliency, unearth competitive advantages and optimize bottom-line results by: Fostering innovation. Implementing strategic procurement strategies.

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Smarter Networks for Customer Fulfillment

Speaker: Hannah Testani, COO, Intelligent Audit

Join Hannah Testani, COO of Intelligent Audit, as she takes us through the reasons why your shipping could cost so much, and how to use big data and digital transformation to move the needle on your transportation spend. We'll cover: How to get all your data into an apples-to-apples comparison so it's easier to strategize.