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

datapine

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? Proactivity: Another key benefit of big data in the logistics industry is that it encourages informed decision-making and proactivity.

Big Data 275
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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

By combining historical vehicle location data with information from other sources, the company can devise empirical approaches for better decision-making. For example, the company’s procurement team can use this information to make decisions about which vehicles to prioritize for replacement before policy changes go into effect.

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Enable advanced search capabilities for Amazon Keyspaces data by integrating with Amazon OpenSearch Service

AWS Big Data

Amazon OpenSearch Ingestion is a fully managed, serverless data collection solution that efficiently routes data to your OpenSearch Service domains and Amazon OpenSearch Serverless collections. It eliminates the need for third-party tools to ingest data into your OpenSearch service setup.

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The Modern Data Stack Explained: What The Future Holds

Alation

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. Data governance is a key use case of the modern data stack.

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What Is Embedded Analytics?

Jet Global

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?