1 Get Started with

Learn how to get started with workbooks and key metrics.

Topics:

• About
• What can I do in ?
• Features of

About

empowers customers with industry-leading, AI-powered, self-service analytics capabilities for data preparation, visualization, enterprise reporting, augmented analysis, and natural language processing.

is a Cloud application that delivers best-practice key metrics and deep analyses to help decision-makers run their business. Packaged analytics applications start with , and can be deployed rapidly, personalized, and extended. is built on top of Oracle Analytics Cloud, and is powered by Oracle Autonomous Data Warehouse.

spans data pipelining, data warehousing (using Autonomous Data Warehouse), semantic models, and curated content including prebuilt key metrics, dashboards, and detailed analyses. supports new and extended content by providing a layer of data personalization and extensions using well-defined interfaces. Because is a Cloud offering, Oracle fully manages the service from deployment and performance tuning, to upgrades and maintenance.

is based on the real-world notions of key metrics, visualizations, and workbooks, and provides a collaborative experience optimized for executives and decision-makers. Business analysts can extend using the intuitive key metrics editor, as well as Oracle Analytics Cloud features to author new visualizations, reports, and dashboards. These analytics, whether new or prebuilt, work alongside key metrics, visualizations, and workbooks for a comprehensive data analysis experience.

Learn About the New Experience

To streamline your data analysis, the user experience for has merged with Oracle Analytics Cloud. For example, key performance indicators (KPIs) have transitioned to key metrics, cards have migrated to visualizations, and decks have migrated to workbooks in Oracle Analytics Cloud.

The alignment of consumer- and author-oriented experiences provide these benefits:

• Flexibility for building dashboards.
• A consolidated home page and catalog experience for all the prebuilt and custom application content.
• An integrated mobile experience through the Oracle Analytics Mobile applications.

The URLs for your service are servername/ui/oax/ for the administration console and servername/ui/dv/ for Oracle Analytics Cloud business user application content. Depending on the tasks you want to accomplish, you can learn more in these topics:

• Find and Explore Your Content
• Prepare Data
• Filter Your Data
• Get Started with Data Visualization
• Begin to Build a Workbook and Create Visualizations
• Get Started with Analyses and Dashboards
• Build Analytical Applications
• Get Started with Key Metrics
• Publish Data

To learn about building Overview and Detail Dashboards, see Build Analytical Applications .

What can I do in ?

There are two features of Oracle Analytics Cloud that work differently in .

• In , you can extend a prebuilt RPD through Semantic Model Extensions or through the External Application Merge process that allows you to merge a custom Oracle Analytics Cloud RPD with the RPD. You can build extensions using features that are unique to .
• HTML code and scripts aren't available in Answers.

Some features only work with datasets, and don't work directly on subject areas. These include:

• Workbook: Auto-Insights
• AI-enhanced Automated Insights
• ML-based Automated Column Explain
• Targeted Segmentation

All other Oracle Analytics Cloud features work as expected in .

Features of

is built on a high-performance platform with flexible data storage, and provides you with a complete set of tools to derive and share data insights.

supports your entire analytics workflow.

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• Data connectivity: Unify your data sources using a wide range of prebuilt data connections. Or use JDBC (Java Database Connectivity) for other sources and legacy systems. Access all your data, including personal data sets like Excel or CSV, wherever they’re located. Securely create, manage and share connections with your team or across the organization.

• Data preparation: Ingest, profile, and cleanse your data using a variety of algorithms.

• Data flow: Transform and aggregate your data, and then run machine-learning models at scale.

• Data modeling: Develop trusted and governed semantic models to ensure a consistent view of business-critical data. Use semantic models to ensure trusted numbers across your enterprise, regardless of the which visualization you choose. Business users can directly join tables through self-service, and share self-service data models with their colleagues.

• Data visualization: Visualize and explore your data, on any device, on-premises, and in the cloud. See the signals in your data and make complex ideas engaging, meaningful, and easy to understand.

• Data discovery: Subject matter experts can easily collaborate with other business users, blending intelligent analysis at scale and machine learning insights.

• Data collaboration: Large organizations and small teams can share data more simply, without the need to manage or consolidate multiple versions of spreadsheets, and quickly perform ad hoc analysis of their spreadsheet data. Data-level security, enables fine-grained access to ensure that your team or users can share reports but see only data they have access to.

• Data access: Stay connected with automated delivery of analytics and monitor ongoing business performance from anywhere at any time. Mobile apps learn from your unique patterns and data interests to deliver intelligent recommendations for further analysis or data exploration.

• Data-driven: Application developers can utilize interfaces that enable them to extend, customize, and embed rich analytic experiences in the application flow.

offers analytics capabilities to all roles within your organization including IT, executives, data engineers, citizen data scientists, business analysts. and business users.

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• Centralized, governed reporting and analytics together with business-led self-service analytics, while always ensuring consistent and trusted numbers.

• A semantic model that abstracts physical data sources and query languages from business users.

• Built-in, trackable, and repeatable data preparation and enrichment that removes the need for insecure data exports and Excel.