2025, Predictive Analytics and Snapshot

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

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

Big Data

Big Data Cost-Benefit Internet of Things Optimization

Chose Both: Data Fabric and Data Lakehouse

Cloudera

SEPTEMBER 12, 2022

Data volumes have been growing for years and are predicted to reach 175 ZB by 2025. Companies need answers to more complex business questions that require integration of unstructured data, real time data with use of modern, best-of-breed engines for analytics, stream processing, and for AI and ML for predictive analytics.

Unstructured Data

Unstructured Data Data Architecture Data Lake Snapshot

Data Leaders Brief

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

Chose Both: Data Fabric and Data Lakehouse

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