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

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275
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How AI-driven data management helps organizations meet rising regulatory challenges

CIO Business Intelligence

With data volumes and AI deployments set to grow, as well as new regulatory requirements in areas such as sustainability, it’s clear this must be a high priority for technology leaders. The cost of compliance These challenges are already leading to higher costs and greater operational risk for enterprises.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

billion by 2025. Serverless data integration solutions leverage cloud-based services, such as AWS Lambda, Google Cloud Functions, or Azure Functions, to execute data integration tasks on demand without needing dedicated servers or resource provisioning.

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ISO 20022: Are your payment systems ready?

IBM Big Data Hub

Real-Time Payments, for example, have widely adopted ISO 20022 across many countries, and Wire Payments networks are also announcing their support plans, including Fedwire, Lynx and SWIFT, by the end of 2025. Are your payment systems ready to reap these benefits? These can help to increase customer satisfaction and loyalty.

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The Failed Promises of Digital Transformation and What to Do About It

Ontotext

Gartner® claims that “by 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across the enterprise.” ” (See “Market Guide for Graph Database Management Systems”, Published 30 August 2022, by Merv Adrian and Afraz Jaffri).

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

How do you scale an organization without hiring an army of hard-to-find data engineering talent? Or, as one of our customers put it, “How do I increase the total amount of team insight generated without continually adding more staff (and cost)?” Staff turnover, stress, and unhappiness. Summary: 10x your data engineering game.

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Your Ultimate Guide To Modern KPI Reports In The Digital Age – Examples & Templates

datapine

Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. KPIs used: Customer Acquisition Costs. In the commercial world, sales cover a broad spectrum and to ensure you meet your targets while cementing growth, collecting the right data is essential.

KPI 223