Cloud Readiness / Oracle Unity
New Feature Summary
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  1. August 2021 Update
  1. Revision History
  2. Overview
    1. CX Activations
        1. Local Time Zones Supported for Creating Segments
        2. Query Optimization for Segment Groups
    2. Data Management
        1. Data Viewer Leverages Near Real-Time Ingestion
        2. Improved User Experience for Foreign Keys
        3. Partitioning in Data Objects
        4. Visual Indicator for Ingest Jobs with Failed Records
    3. Intelligence at Scale
        1. Lead Scoring Model
        2. Product Propensity Model

August 2021 Update

Revision History

This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:

Date Product Feature Notes
25 AUG 2021     Created initial document.

Overview

This guide outlines the information you need to know about new or improved functionality in this update.

DISCLAIMER

The information contained in this document may include statements about Oracle’s product development plans. Many factors can materially affect Oracle’s product development plans and the nature and timing of future product releases. Accordingly, this Information is provided to you solely for information only, is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described remains at the sole discretion of Oracle.

This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.

CX Activations

Local Time Zones Supported for Creating Segments

When configuring a timestamp condition on the segmentation canvas, the time displayed is based on your local time zone.

Query Optimization for Segment Groups

When you create a segment with multiple segment groups, the query for segment counts is optimized so results are now generated more quickly. 

Data Management

Data Viewer Leverages Near Real-Time Ingestion

When using the Data viewer to manage records (add, edit, copy), you can send the updates directly to the data warehouse using near real-time ingestion. 

Improved User Experience for Foreign Keys

Foreign key relationships that use hidden data objects and attributes are no longer displayed by default on the Data model page. You can view hidden foreign key relationships by selecting the option to view hidden items.

Partitioning in Data Objects

You can set up a date-based partition strategy on default and custom data objects. 

Visual Indicator for Ingest Jobs with Failed Records

The Jobs dashboard page now displays a visual indicator for completed ingest jobs that had failed records, even if the ingest job ran successfully.

Intelligence at Scale

Lead Scoring Model

The business-to-business (B2B) Lead Scoring Model is a ready-to-use data science model that allows you to understand the purchase intentions of leads.

Product Propensity Model

The business-to-consumer (B2C) Product Propensity Model is a ready-to-use data science model that gauges the likelihood of customers purchasing specific products.