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Beyond The Data with William Sandoval

The Logistics of Logistics

Data is a big buzzword across industries, but how about when it comes to logistics? William shares how they transform data into critical actionable information that optimizes and powers operations throughout businesses. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.

Data 313
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Stringent Reporting Regulations Require Data Integrity

Logistics Viewpoints

This added responsibility for companies will have lasting effects on business operations, corporate partnerships, supply chain logistics, compliance requirements, and data integrity. Regulations requiring Scope 3 emissions data from companies, create an end-to-end value chain reporting issue.

Data 173
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FedEx Works to Monetize their Big Data

Logistics Viewpoints

Google and Twitter mainly monetize the data through targeted advertising. The value of the data captured by Google and Twitter has made them the darlings of Wall Street. But it turns out big logistics firms also generate Big Data, and they are also working to monetize this data. We have always been good at capturing data.

Data 163
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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.

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Outrun Your Competition: Best Practices for Accelerating Sales Processes

By building a modern GTM motion that uses data, automation, and proven best practices to unlock insights, engage customers, and win faster. How can you speed it up?

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NRF 2024: Supply Chain Data

Logistics Viewpoints

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.

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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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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data.

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Supply Chain Planning Maturity – How Do You Compare to Peers?

The COVID-19 pandemic is an extreme example of how this unfolds in practice. Time allocated to data collection: Data quality is a considerable pain point. How much time do teams spend on data vs. creative decision-making and discussion? Today's supply chains are networked, global ecosystems.

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Real-Time Trackers: A Welcome Labor Solution for Logistics

Among these new tools and technologies, many logistics firms are turning to shipment tracking solutions that address labor constraints by providing real-time location and condition data that allow LSPs, drivers, and receivers to do their jobs more efficiently. Why streamlining data simplifies the logistics role.

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Lack of skilled resources. Don’t have the right tools/tools are too complex or expensive. Lengthy time to plan/execute.

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Building AI to Unlearn Bias in Recruiting

Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.