Augmented analytics incorporates artificial intelligence (AI) and machine learning (ML) into data analytics, enabling businesses to make better, faster and more informed decisions. A single source of truth ensures that every person and department in a company is working from the same, most up-to-date datasets. Learn how to use advanced data analytics to enable self-service analytics—with features including data visualisation—to get business insights faster. Discover how to do this while decreasing security workloads for users and minimising the ...

Read “Oracle Analytics for Dummies” to explore how to enable anyone to make smarter data-driven business decisions through single-click data visualisations. Discover how to use advanced data analytics—enhanced by artificial intelligence (AI) and machine learning (ML)—to enable more proactive sales and marketing campaigns, improve financial reporting efficiency, increase supply chain efficiency, and more.

Read this guide to learn how to make better decisions through AI-powered self-service data analytics ...

Read “Oracle Autonomous Database for Dummies” to explore how companies are reducing costs and eliminating the complexities of managing and securing data warehouses.

Agea publishes Clarín, the leading newspaper in Latin America. The company achieved 50% lower costs compared to on premises and reduced the time to upload subscriber profiles from three hours to 30 minutes.

Empower anyone in your business to make smarter data-driven decisions through self-service analytics, with a modern data warehouse.

Read this guide to discover the ...

Critical Capabilities for Cloud Database Management Systems for Operational Use Cases

Data and analytics leaders, architects, and implementers should use this Critical Capabilities research as part of an evaluation of operational database management systems (DBMS) products. The research is based on what Gartner considers to be the 10 most important functional capabilities across four major use cases.

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Every decade or so, we’ve seen the technology market undergo major shifts. Over the past few decades, those shifts have been driven by mobility and the cloud. Now we’re entering the next big shift: the era of data—but we’re not talking about data that’s generated in a cloud or a data center. We’re talking about data that is available where business is done—where users, devices, and things all come together.

We call that the Edge.

For most businesses, harnessing the power of the Edge presents some formidable challenges, particularly in the ...