Data Visualization Usage

All implementations of Oracle Retail AI Foundation Cloud Services and Retail Insights Cloud Services include Oracle Data Visualization (DV) as a tool for custom analytics and reporting. Administrators should be aware of how DV is maintained as part of your Oracle Cloud environments so that you can manage user-created content and access permissions in the tool.

Accessing the Application

The URL to access the DV application is below, where xxx and yyy are the specific identifiers for your environment.

https://xxx-yyy-rsi-ris.oracleindustry.com/dv/?pageid=home

Permission to access DV can be granted through IDCS or OCI IAM using the group RetailVisualAnalyzer_JOB (or it's PREPROD equivalent). DV access is also granted automatically if you have certain Retail Insights groups assigned, such as BIAuthors_JOB or RIApplicationAdministrator_JOB.

Managing User Content

User-created content comes in several forms and each type of content is managed separately, as defined below.

Table 1-2 DV User Content

Object Type	Usage
Projects	DV reports and analyses are saved as Project files in the Oracle Analytics Catalog. In Oracle AI Foundation Cloud Services solutions, you may only use two assigned folders in the catalog: /My Folders/ and /Shared Folders/Custom/. You must not save or modify projects in any other location, as these two folders are the only ones designated for backup between upgrades/patches. Projects have their own permissions assigned and are not granted to anyone but the owner by default. The owner must grant the object to administrators if you want them to be centrally managed.
Datasets	Users can create datasets by uploading Excel spreadsheets or by querying pre-defined database connections. Datasets have their own permissions assigned and are not granted to anyone but the owner by default. The owner must grant the object to administrators if you want them to be centrally managed.
Connections	Database connections are managed by Oracle at this time, end users are not expected to create or modify these objects.
Data Flows	Data flows are used to combine multiple datasets or perform complex transformations and data mining algorithms. Data flows cannot be seen or administered by anyone but the object owner.
Jobs and Schedules	Data flows are executed using Jobs, which can also be scheduled to run periodically. Only the data flow owner can modify jobs and the associated schedules, even though the jobs are visible to other users.