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

datapine

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 275
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The case for predictive AI

CIO Business Intelligence

The past six months have seen a particular form of AI gain popularity among business leaders: Generative AI (GenAI). According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. But it shouldn’t.

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Take Advantage Of Operational Metrics & KPI Examples – A Comprehensive Guide

datapine

Identifying what is working and what is not is one of the invaluable management practices that can decrease costs, determine the progress a business is making, and compare it to organizational goals. But first, let’s begin with a general understanding of key metrics and their usage in business. Marketing: CPC (Cost-per-Click).

KPI 269
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Operational Finance in the Age of Covid-19: Time to Change the Basics?

Jet Global

There are many solutions on the market that profess to lighten a finance team’s workload under the current circumstances. Modern business intelligence (BI) tools can result in inefficiencies too. It also decreases the risk of errors by eliminating disjointed, manual processes. But there’s a balance to be struck.

Finance 98
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What Is An Operational Report? A Complete Guide

FineReport

Operational reports have the potential to greatly enhance business performance through the utilization of data-driven insights. These reports offer a structured and comprehensible representation of data, enabling a clearer understanding of complex issues that might otherwise remain elusive. Book a Free Demo 1.

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Digital twin helps NTT Indycar deliver better race experience to fans

CIO Business Intelligence

Together with data collected from prior seasons and the first five events of the NTT Indycar Series, NTT uses a combination of data analytics, digital twin, and artificial intelligence (AI) capabilities to give fans access to in-depth, real-time insights about head-to-head overtaking, pit predictions, and other elements of the race.

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Digital twin helps NTT Indycar deliver better race experience to fans

CIO Business Intelligence

Together with data collected from prior seasons and the first five events of the NTT Indycar Series, NTT uses a combination of data analytics, digital twin, and artificial intelligence (AI) capabilities to give fans access to in-depth, real-time insights about head-to-head overtaking, pit predictions, and other elements of the race.