Remove Analytics Remove KPI Remove Scalability
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What is data architecture? A framework to manage data

CIO

Shared data assets, such as product catalogs, fiscal calendar dimensions, and KPI definitions, require a common vocabulary to help avoid disputes during analysis. Real-time analytics. According to data platform Acceldata , there are three core principles of data architecture: Scalability. Scalable data pipelines.

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Are You Using a Cloud Experience to Boost Business Value?

CIO

When Diminishing Returns Become Budget Busters For years enterprises scrambled to build applications in public cloud environments; there was legitimate business value in rapid innovation, deployment and scalability, as well as unfettered access to more geographical regions.

Cloud 190
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Huabao sniffs out the ultimate efficiency formula

CIO

Without visualized analytics, it was difficult to bridge the void between expectation and accurate analysis. The objectives were lofty: integrated, scalable, and replicable enterprise management; streamlined business processes; and visualized risk control, among other aims, all fully integrating finance, logistics, production, and sales.

KPI 148
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5 hot IT budget investments — and 2 going cold

CIO

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

Budget 218
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ESG software: 6 tips for selecting the best fit for your business

CIO

For large organizations, the end-to-end data and technology solution will include your ERPs, data and analytics landscape, certainly AI, low- and no-code platforms, and a range of emerging tech.” “Applying concepts of solution architecture to truly solve the problem end to end is not really negotiable,” she says.

Software 147
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AI Network Security for Enterprises

Firemon

Use Predictive Analytics : Analyze historical attack data to anticipate potential future threats. Behavioral Analytics : Detecting deviations in user behavior that could indicate insider threats. Trending Metrics: Track KPI progress over time to evaluate whether your management practices are driving improvement.

Network 52
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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock

AWS Machine Learning - AI

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. However, a manual process is time-consuming and not scalable. About the authors Vicente Cruz Mínguez is the Head of Data & Advanced Analytics at Cepsa Química.