Latest OAC Features and Updates

Posted on By Adrian Ward
  1. New Features and Updates for Oracle Analytics

See the release announcement.

A summary:

Oracle Analytics Cloud Release 6. 0 is a significant update. Highlights include:

1. Extended data management capabilities

2. Custom Knowledge

3. Data Quality Insights

With every release, OAC includes User Experience enhancements and new visualizations.

Highlights for this release include multi-sorting capabilities across any visualization.

Also, check out the new Graph Network Viz in the Oracle Analytics Library.

Data Sets with Multiple Tables

You can define join types, control how many tables are used, schedule refreshes.

New Data Sources

Reach is continued with JDBC and Google BigQuery data connections.

JDBC provides a generic option for access to any data that has a JDBC connection available.

Custom Knowledge

Standard terms can be imported into OAC for all users to leverage.

Data Quality Insights

Increase the speed and quality of data preparation with Quality Insights. Automatically generated visualizations notify of missing values, misspellings. data type inconsistencies and other issues.

2. Hierarchical Columns in Oracle Self Service Visualizations.

3. What’s New for Oracle Analytics Cloud?

Read this document for an overview of the new features.

General

  • Reload data sets on a schedule
  • Hierarchy navigation for Essbase and EPM data sources

Visualization

  • On-canvas filter types
  • On-canvas date filters
  • On-canvas measure filters
  • Tooltips on visualization titles
  • Improved sort option
  • Time series forecasting
  • Graph analytics
  • Improved home page search
  • Map layers in disjointed data sets
  • Export individual visualizations
  • Average aggregation in Waterfall visualizations

Data Sources

  • Connect to remote JDBC data sources
  • Connect to Google BigQuery

Data Preparation

  • Data sets with multiple tables
  • Custom knowledge
  • Data quality insights
  • Frequent Item Set function supports association rules
  • Oracle machine learning supports Feature Extraction

Pixel-Perfect Recording

  • Deliver pixel-perfect reports to Object Storage
  • Pixel-perfect reports support data sets with multiple tables

4. OCI Object Storage for Publisher Reports Deliveries

5. Oracle Analytics Cloud

Get Started here. Everything you need to know!

  1. Before you Start
  2. Subscribe and Set Up
  3. Connect to Data
  4. Visualize Data
  5. Model Data
  6. Build Analyses, Dashboards and Pixel Perfect Reports

6. Introduction to the Oracle Analytics April Cloud Update

7. Start your Oracle Analytics Journey here

Product tour available right here! Have a look.

Oracle Analytics Cloud