This Augmented Analytics project demonstrates a campaign response model and predictive analytics. The solution is built leveraging the visualization and machine learning capabilities of Oracle Analytics Cloud and designed to help marketing teams identify the right set of customers to target for their products.
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...