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Oracle

Oracle Enterprise Data Quality

Composite Score

8.1 /10

CX Score

8.2 /10

82 Reviews Write a Review

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What is Oracle Enterprise Data Quality?

Oracle Enterprise Data Quality provides a comprehensive data quality management environment, used to understand, improve, protect and govern data quality. The software facilitates best practice Master Data Management, Data Governance, Data Integration, Business Intelligence and data migration initiatives, as well as providing integrated data quality in CRM and other applications and cloud services.

Company Details

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Awards & Recognition

Oracle Enterprise Data Quality won the following awards in the Data Quality category

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2 Top Rated Capabilities

2 Top Rated Features

Latest Award, 2025

0 Top Rated Capabilities

1 Top Rated Features

2023

0 Top Rated Capabilities

2 Top Rated Features

2022

Oracle Enterprise Data Quality Ratings

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

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.

89 Likeliness to Recommend

1
Since last award

97 Plan to Renew

1
Since last award

82 Satisfaction of Cost Relative to Value

1
Since last award

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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.

+87 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 Enterprise Data Quality?

4% Negative

5% Neutral

91% Positive

Pros

Respectful
Reliable
Performance Enhancing
Trustworthy

Feature Ratings

Average 81

Data Source Connectivity

Data Matching

Dashboard

Record Management

Record Deduplication

Data Enrichment

Data Monitoring and Administration

Reporting Components

Data Cleansing

Data Profiling

Geocoding

Vendor Capability Ratings

Average 81

Product Strategy and Rate of Improvement

Quality of Features

Ease of Data Integration

Vendor Support

Breadth of Features

Business Value Created

Ease of Customization

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration

Oracle Enterprise Data Quality Reviews

Anna Z.

Role: Operations
Industry: Shipping
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2020

GREAT PRODUCT THAT HELP A LOT

Likeliness to Recommend

10 /10

What differentiates Oracle Enterprise Data Quality from other similar products?

It is much easier and convenient to use

What is your favorite aspect of this product?

user friendly and intuitive; very easy to use

What do you dislike most about this product?

nothing I can think of

What recommendations would you give to someone considering this product?

it is a great product. very user friendly and easy to use.

Pros

Continually Improving Product
Reliable
Efficient Service
Inspires Innovation

Role: Human Resources
Industry: Manufacturing
Involvement: Vendor Selection and Purchasing

Validated Review

Anonymous Reviewer

Submitted Apr 2020

Easy to use

Likeliness to Recommend

6 /10

Pros

Efficient Service
Reliable
Enables Productivity
Trustworthy

Cons

Slower Product Innovation
Less Performance Enhancing
Commodity Features

Oracle Enterprise Data Quality

What is Oracle Enterprise Data Quality?

Company Details

Need Assistance?

Awards & Recognition

Oracle Enterprise Data Quality Ratings

89 Likeliness to Recommend

1 Since last award

97 Plan to Renew

1 Since last award

82 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+87 Net Emotional Footprint

How much do users love Oracle Enterprise Data Quality?

Pros

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

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

Data Matching Includes fuzzy matching, data comparison, and data merging.

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

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

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.

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.

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

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.

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.

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.

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 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.

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.

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.

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

Oracle Enterprise Data Quality Reviews

Anna Z.

GREAT PRODUCT THAT HELP A LOT

Likeliness to Recommend

Pros

Easy to use

Likeliness to Recommend

Pros

Cons

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Feature Ratings

Data Source Connectivity

Data Matching

Dashboard

Record Management

Record Deduplication

Data Enrichment

Data Monitoring and Administration

Reporting Components

Data Cleansing

Data Profiling

Geocoding

Vendor Capability Ratings

Product Strategy and Rate of Improvement

Quality of Features

Ease of Data Integration

Vendor Support

Breadth of Features

Business Value Created

Ease of Customization

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration