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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275
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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau.

IoT 100
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Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone

AWS Big Data

This new JDBC connectivity feature enables our governed data to flow seamlessly into these tools, supporting productivity across our teams.” Use case Amazon DataZone addresses your data sharing challenges and optimizes data availability.

Analytics 103
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The Journey to DataOps Success: Key Takeaways from Transformation Trailblazers

DataKitchen

Similarly, Workiva was driven to DataOps due to an increased need for analytics agility to meet a range of organizational needs, such as real-time dashboard updates or ML model training and monitoring. There are a limited number of folks on the data team that can manage all of these things. He suggested.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. However, none of these layers help with modeling and optimization. Model Operations. Model Development.

IT 364
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

He/she assists the organization by providing clarity and insight into advanced data technology solutions. As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Here, it all comes down to the data transformation error rate.

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BMW Cloud Efficiency Analytics powered by Amazon QuickSight and Amazon Athena

AWS Big Data

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The CLEA dashboards were built on the foundation of the Well-Architected Lab.