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

datapine

Winkenbach said that his data showed that “deliveries in big cities are almost always improved by creating multi-tiered systems with smaller distribution centers spread out in several neighborhoods, or simply pre-designated parking spots in garages or lots where smaller vehicles can take packages the rest of the way.”

Big Data 275
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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

All of that “metadata” (which is simply “other data about your data”) enables rich discovery of shortest paths, central nodes, and communities. Incorporating context into the graph (as nodes and as edges) can thus yield impressive predictive analytics and prescriptive analytics capabilities.

Metadata 250
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Digital twin helps NTT Indycar deliver better race experience to fans

CIO Business Intelligence

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

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Digital twin helps NTT Indycar deliver better race experience to fans

CIO Business Intelligence

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 111
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Understanding Data Drill Down And Drill Through Analysis And Their Role In Efficient Reporting

datapine

From automated reporting, predictive analytics, and interactive data visualizations, reporting on data has never been easier. Now, if you are just getting started with data analysis and business intelligence it is important that you are informed about the most efficient ways to manage your data.

Reporting 173
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7 famous analytics and AI disasters

CIO Business Intelligence

That line of inquiry led to a predictive analytics project that would famously lead the retailer to inadvertently reveal to a teenage girl’s family that she was pregnant. Like all other big retailers, Target had been collecting data on its customers via shopper codes, credit cards, surveys, and more.

Analytics 145