This content is currently locked.

Your current Info-Tech Research Group subscription does not include access to this content. Contact your account representative to gain access to Premium SoftwareReviews.

Contact Your Representative

Or Call Us:
1-888-670-8889 (US/CAN) or
+1-519-432-3550 (International)

Oracle

Oracle Unity Customer Data Platform

Composite Score

7.0 /10

CX Score

7.3 /10

20 Reviews Write a Review

What is Oracle Unity Customer Data Platform?

Combine customer data from online, offline, and third-party sources to create a single, dynamic, real-time view of each customer. Oracle Unity Customer Data Platform applies machine learning to prescribe the best next action within any existing business processes.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

Oracle Unity Customer Data Platform won the following awards in the Customer Intelligence category

Filter By

1 Top Rated Capabilities

3 Top Rated Features

Latest Award, 2024

2023 Data Quadrant Gold Medalist

2023

5 Top Rated Capabilities

5 Top Rated Features

2023

6 Top Rated Capabilities

7 Top Rated Features

2022

Oracle Unity Customer Data Platform Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Oracle Unity Customer Data Platform.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

81 Likeliness to Recommend

1
Since last award

92 Plan to Renew

1
Since last award

80 Satisfaction of Cost Relative to Value

{y}

{name}

Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+78 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Oracle Unity Customer Data Platform?

10% Negative

0% Neutral

90% Positive

Pros

Effective Service
Helps Innovate
Continually Improving Product
Performance Enhancing

Feature Ratings

Average 77

Audience Segmentation

Data Visualization

Predictive Analytics

API Framework

Real Time Workflow Automation

Audience Demographics

Cross Channel Attribution Analysis

Metadata Management

Anomaly Detection

Conversion Analysis

Customer Journey Modelling

Vendor Capability Ratings

Average 76

Business Value Created

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Breadth of Features

Quality of Features

Availability and Quality of Training

Vendor Support

Ease of Implementation

Ease of Customization

Ease of Data Integration

Ease of IT Administration

Oracle Unity Customer Data Platform Reviews

Role: Finance
Industry: Insurance
Involvement: End User of Application

Validated Review

Anonymous Reviewer

Submitted May 2020

Great product but pricey and little support

Likeliness to Recommend

8 /10

Cons

Vendor Friendly Policies
Less Performance Enhancing
Commodity Features

Most Popular Oracle Unity Customer Data Platform Comparisons

Google Analytics
Compare
HubSpot Sales Hub
Compare
Adobe Analytics
Compare
Semrush
Compare
Tableau CRM Analytics
Compare
SAP Analytics Cloud
Compare

Latest Research

Oracle Unity Customer Data Platform

What is Oracle Unity Customer Data Platform?

Company Details

Need Assistance?

Awards & Recognition

2023 Data Quadrant Gold Medalist

Oracle Unity Customer Data Platform Ratings

81 Likeliness to Recommend

1 Since last award

92 Plan to Renew

1 Since last award

80 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+78 Net Emotional Footprint

How much do users love Oracle Unity Customer Data Platform?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Audience Segmentation The ability to create and analyze discrete customer audience segments based on user-defined criteria or variables.

Data Visualization Visualize customer data in configurable dashboards or reports, and easily share these visualizations with decision makers.

Predictive Analytics The ability to make predictions about audience behavior based on historical data and machine learning.

API Framework The platform provides the ability to move data to and from the solution and other customer interaction applications (i.e. CRM) with ease.

Real Time Workflow Automation The ability to create rules-based workflows and trigger certain actions (i.e. re-marketing) based on audience segments or behavioural cues.

Audience Demographics Capture, analyze and display demographic data from customer interaction channels.

Cross Channel Attribution Analysis The ability to estimate and report on conversion contributions to revenue.

Metadata Management Easily manage metadata associated with customer data or audience segments.

Anomaly Detection The ability to identify and classify anomalous patterns in customer or transactional datasets.

Conversion Analysis Capture and analyze conversion data and conversion paths from multiple channels.

Customer Journey Modelling Model and display customer behaviors or journeys through multiple channels (web, e-mail, social).

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Oracle Unity Customer Data Platform Reviews

Great product but pricey and little support

Likeliness to Recommend

Cons

Most Popular Oracle Unity Customer Data Platform Comparisons

Google Analytics

HubSpot Sales Hub

Adobe Analytics

Semrush

Tableau CRM Analytics

SAP Analytics Cloud

Title

1
Since last award

1
Since last award

Feature Ratings

Audience Segmentation

Data Visualization

Predictive Analytics

API Framework

Real Time Workflow Automation

Audience Demographics

Cross Channel Attribution Analysis

Metadata Management

Anomaly Detection

Conversion Analysis

Customer Journey Modelling

Vendor Capability Ratings

Business Value Created

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Breadth of Features

Quality of Features

Availability and Quality of Training

Vendor Support

Ease of Implementation

Ease of Customization

Ease of Data Integration

Ease of IT Administration