Oracle Analytics Cloud can allow you to take a broad swath of data from various sources to gain relevant insight. In a business context, savvy executives use this data visualization technology to improve their strategies with facts and generate action around their ideas.
The replace dataset feature in Oracle Analytics Cloud lets users choose a project as a template, then use the same analysis for other datasets with just a few clicks and without having to manually re-create the entire project, saving time and effort.
Data flows in Oracle Analytics Cloud let users take multiple data sources, join them, and transform the result to produce a curated set of data that users can use to visualize and analyze parts of the business.
The latest version of Oracle Autonomous Analytics Cloud includes a refreshed data visualization a capability that empowers business users to explore, discover and visualize their data. This marks its fourth year since becoming generally available with Oracle's initial cloud analytics offerings (Business Intelligence Cloud Service and Data Visualization Cloud Service). Oracle Analytics Cloud's data visualization feature addressed that primary shift to user self-service with...
This Data Visualization project shows how Machine Learning and Data Science approach can be applied during self-service data exploration using Oracle DV. Examples shows use case to predict Chronic Kidney Disease.
In the last of our blog series taking data from sources you wouldn’t expect and bringing it to life with Oracle Data Visualization, we take a look at some data pertaining to one of the favourite summer pastimes – attending festivals. And what bigger better music festival to go with than the UK’s Glastonbury?
Continuing the series taking data sets from unorthodox sources and analyzing them with Oracle Data Visualization. We take a look at the best jokes from the past seven years at the Edinburgh Festival Fringe and discover the recipe for success.