Cloud Readiness / Oracle Unity Customer Data Platform Cloud
What's New
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  1. April 2022 Update
  1. Revision History
  2. Overview
  3. Feature Summary
    1. Data Management
        1. Delete Activation Snapshots
    2. Intelligence at Scale
        1. Churn Propensity Data Science Model
        2. Predictive Account Scoring B2B Data Science Model

April 2022 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
28 APR 2022     Created initial document.

Overview

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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.

Feature Summary

Column Definitions:

Report = New or modified, Oracle-delivered, ready to run reports.

UI or Process-Based: Small Scale = These UI or process-based features are typically comprised of minor field, validation, or program changes. Therefore, the potential impact to users is minimal.

UI or Process-Based: Larger Scale* = These UI or process-based features have more complex designs. Therefore, the potential impact to users is higher.

Features Delivered Disabled = Action is needed BEFORE these features can be used by END USERS. These features are delivered disabled and you choose if and when to enable them. For example, a) new or expanded BI subject areas need to first be incorporated into reports, b) Integration is required to utilize new web services, or c) features must be assigned to user roles before they can be accessed.

Ready for Use by End Users
(Feature Delivered Enabled)

Reports plus Small Scale UI or Process-Based new features will have minimal user impact after an update. Therefore, customer acceptance testing should focus on the Larger Scale UI or Process-Based* new features.

Customer Must Take Action before Use by End Users
(Feature Delivered Disabled)

Not disruptive as action is required to make these features ready to use. As you selectively choose to leverage, you set your test and roll out timing.

Feature

Report

UI or
Process-Based:
Small Scale

UI or
Process-Based:
Larger Scale*

Data Management

Delete Activation Snapshots

Intelligence at Scale

Churn Propensity Data Science Model

Predictive Account Scoring B2B Data Science Model

Data Management

Delete Activation Snapshots

You can use the Oracle Unity platform to delete data records from existing activation snapshots by creating a data deletion job.

This enhancement gives you more options to delete data to meet mandated data privacy regulations, such as GDPR and other data hygiene use cases. 

Steps to Enable

You don't need to do anything to enable this feature.

Key Resources

Role Information

This feature is available to Data Engineers. 

Intelligence at Scale

Churn Propensity Data Science Model

The Churn Propensity model helps you effectively and proactively identify potential churn in customers.

The model provides the following benefits:

  • Helps target customers with a likelihood to churn with retention campaigns and tactics.
  • Improves retention rates by proactively identifying customers at risk.
  • Helps actively monitor high-value customers.

Steps to Enable

You don't need to do anything to enable this feature.

Key Resources

Role Information

This feature is available to Instance admins.

Predictive Account Scoring B2B Data Science Model

The Predictive Account Scoring B2B model scores contacts on their likelihood to convert. The scores are based on the engagement patterns of contacts within an account.

The model provides the following benefits:

  • Helps nurture the right accounts with higher conversion chances.
  • Increases the effectiveness of marketing efforts.
  • Increases the number of marketing-qualified leads (MQLs) and conversion rates.

Steps to Enable

You don't need to do anything to enable this feature.

Key Resources

Role Information

This feature is available to Instance admins.