Get Started with Oracle Energy and Water Data Intelligence
Oracle Energy and Water Data Intelligence is a suite of analytics applications that provides real-time access to data in the on-premise Oracle Utilities Customer To Meter application and Oracle Customer Cloud Service. It is powered by Oracle Autonomous Data Warehouse and Oracle Analytics Cloud, and it offers a library of ready-to-use, best practice key metrics across customer and meter applications to help you make quick and collaborative decisions. It includes rich pre-built analytical subject areas, measures, key performance indicators, and workbooks that allow you to create visualizations from your data and derive strategic insights.
About Subject Areas
One of the key benefits of Oracle Energy and Water Data Intelligence is that it comes with predefined subject areas that are specific to the utilities industry.
A subject area is a data model that presents business data for analysis in a manner that reflects the structure of the business. Subject areas enable analysts to structure queries in the same intuitive fashion as they ask business questions.
Oracle Data Visualization
Oracle Energy and Water Data Intelligence leverages Oracle Data Visualization, which is a component of Oracle Analytics Cloud.
Oracle Data Visualization enables you to easily create visualizations and workbooks that reveal trends in your company’s data and help you answer questions and discover important insights about your business. Creating visualizations and workbooks is easy in Oracle Data Visualization. The application is designed so that your data analysis work is flexible and exploratory.
Exploring data in Oracle Data Visualization is different than using pre-built analytics and dashboards because it allows you to experiment with your data by adding or removing columns, creating filters, or applying different visualizations to your data. You can understand your data from different perspectives and fully explore your data to find correlations, discover patterns, and see trends.
For more information, see Explore, Visualize, and Analyze Data.