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

datapine

The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. million miles.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

When these systems connect with external groups — customers, subscribers, shareholders, stakeholders — even more data is generated, collected, and exchanged. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. This is quantitative data. or “how often?”

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. What’s the biggest challenge manufacturers face right now?

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12 considerations when choosing MES software

IBM Big Data Hub

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. They also support the measurement of overall equipment effectiveness (OEE) , a significant metric used to gauge manufacturing efficiency.

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How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. These instruments measure a variety of environmental factors such as temperature, tilt angle, shock, humidity and so on to ensure quality of goods in transit. Setting them up is a byzantine, time-consuming process.

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