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Oracle Consolidates More Than 18 Brands Within Oracle Analytics


Oracle recently unveiled a new, customer-centric vision for Oracle Analytics at its Analytics Summit. 

Oracle says there are three key elements to its new strategy. They include:

  1. One Offering: With "Oracle Analytics" Oracle says it is providing a simplified product offering and clarity of direction by rationalizing 18-plus products down to a single brand.
  2. Powered by the Autonomous Data Warehouse and Machine Learning: Application analytics built on the Autonomous Data Warehouse and powered by Oracle Analytics Cloud.
  3. Enabling Broad Enterprise Adoption: Affordable per user pricing for departmental business users plus per-CPU pricing for broad enterprise scale.

"We are committed to helping our customers get the most value from their data and to delivering the best analytics experience," said T.K. Anand, senior vice president, AI, Data Analytics and Cloud, Oracle.  "Today, we are announcing a new vision, product experience, and commitment to customer success that will enable us to collaborate with our entire ecosystem and deliver a new era of enterprise analytics."

Oracle's analytic capabilities are available in the cloud via Oracle Analytics Cloud, on-premise via Oracle Analytics Server, and within applications via Oracle Analytics for Oracle Cloud Applications.  These solutions leverage Oracle's existing analytics capabilities and add new features, including augmented analytics and NLP, which are embedded throughout the platform.  In addition, Oracle Analytics now offers an integrated user experience across self-service data discovery and reporting and dashboards, delivering effortless access to insights that can be consumed in the cloud, on the desktop, and mobile.

Built first for the cloud, Oracle Analytics Cloud is the centerpiece of Oracle Analytics.  The goal with Oracle Analytics Cloud is to empower business users with governed self-service analytic capabilities for data preparation, visualization, augmented analysis, and natural language processing.   In addition, a governed self-service experience helps users to drive faster insights and optimize business results.

According to Oracle, its Analytics Server will comprise all of its on-premise BI offerings, enabling customers in highly regulated industries or with multi-cloud architectures to obtain the latest analytic capabilities while ensuring an easy path to the cloud.

More information is available about Oracle Analytics.


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