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Oracle Fusion Data Intelligence gets Gen AI-powered developer assistant

CIO Business Intelligence

Fusion Data Intelligence, which is an updated avatar of Fusion Analytics Warehouse, combines enterprise data, and ready-to-use analytics along with prebuilt AI and machine learning models to deliver business intelligence.

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How REA Group approaches Amazon MSK cluster capacity planning

AWS Big Data

Capacity monitoring dashboards As part of our platform management process, we conduct monthly operational reviews to maintain optimal performance. This involves analyzing an automated operational report that covers all the systems on the platform.

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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting. That works reasonably well for traditional reporting functions. For more powerful, multidimensional OLAP-style reporting, however, it falls short.

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The evolving role of CFO is driven by data

CIO Business Intelligence

They need integrated financial insights on accounting and finances data, better traceability and operational reporting on things such as customer segmentation, products and revenue assurance. It also has a pre-built financial data model that’s ready to receive and structure data to enable controlled, user-friendly access.

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Make Sure You Know The Difference Between Strategic, Analytical, Operational And Tactical Dashboards

datapine

They are often complex: utilizing complex models and what-if statements. Because of this, operational dashboards often are more detailed than strategic dashboards. They can also provide operational reports with a more detailed view of specific data sets. b) Customer service operational metrics dashboard.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions.

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Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

Broadly speaking, these kinds of reports fall under the heading of “operational reporting”, because you use them as part of routine operations rather than as a financial management tool. In contrast with financial reporting, analytics tends to cast a much wider net in terms of its overall purpose and objectives.