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A Data Prediction for 2025

DataKitchen

What will the world of data tools be like at the end of 2025? The crazy idea is that data teams are beyond the boom decade of “spending extravagance” and need to focus on doing more with less. What will exist at the end of 2025? Central IT Data Teams focus on standards, compliance, and cost reduction.

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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.

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How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes of data in 2020, a tenfold increase from 6.5

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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. Given these ISO 20022 payment scheme announcements, the question is: is your financial institution ready?

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13 Analytics & Business Intelligence Examples Illustrating The Value of BI

datapine

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. billion , growing at a CAGR of 26.98% from 2016.

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

DataKitchen

Productivity does not come through the fingers of each data engineer; it comes from building a system around those engineers that allows them to run production with minimal errors and move things into production quickly, with low risk, so they can focus on making their customers successful. Summary: 10x your data engineering game.

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How Can Manufacturing Data Help Your Organization?

Sisense

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations.