Oracle

Oracle Enterprise Data Quality

Composite Score

8.1 /10

CX Score

8.3 /10

80 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.

88 Likeliness to Recommend

96 Plan to Renew

83 Satisfaction of Cost Relative to Value

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 92%
Negotiation and Contract:: 86%
Conflict Resolution:: 88%
Strategy & Innovation:: 85%
Service Experience:: 92%

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 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?

5% Negative

5% Neutral

90% Positive

Pros

Respectful
Reliable
Enables Productivity
Fair

Feature Ratings

Average 82

Data Source Connectivity

Data Matching

Record Deduplication

Dashboard

Data Enrichment

Record Management

Data Monitoring and Administration

Reporting Components

Data Profiling

Data Cleansing

Geocoding

Vendor Capability Ratings

Average 82

Vendor Support

Ease of Data Integration

Breadth of Features

Business Value Created

Product Strategy and Rate of Improvement

Quality of Features

Ease of Customization

Ease of IT Administration

Availability and Quality of Training

Usability and Intuitiveness

Ease of Implementation

Oracle Enterprise Data Quality Reviews

Role: Operations
Industry: Manufacturing
Involvement: Vendor Selection and Purchasing

Validated Review

Anonymous Reviewer

Submitted Nov 2022

Similar features but higher price tag

Likeliness to Recommend

7 /10

Pros

Caring
Respectful
Reliable
Performance Enhancing

Cons

Less Inspiring
Vendor Friendly Policies
Vendor's Interest First

Michael J.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2022

Best software for data quality.

Likeliness to Recommend

10 /10

What differentiates Oracle Enterprise Data Quality from other similar products?

Oracle Enterprise Data Quality offers a comprehensive, best-in-class method to client and brand data, producing reliable core data that interfaces with apps to enhance corporate insight. In addition to delivering unified quality of the data in CRM and other apps and cloud solutions, this software provides recommended practice efforts in data management, data transformation, business analytics, and management of master data.

What is your favorite aspect of this product?

This program guarantees database integrity through thorough data modeling and content modeling, as well as high-quality address validation and authentication. I adore how the complete data content cleaning serves as a revolutionary solution that encourages high-quality support and demodulates each action. Finally, there are reliable contacts, address confirmation, and networking technologies.

What do you dislike most about this product?

Since this is the main engine for DIPC and has moved to the Cloud, upgrades are infrequent. The software also requires governance if several persons are executing reports, for example, if an individual is operating a process that shuts out other users. When working with bigger USD data sets, Oracle Enterprise Data Quality occasionally responds slowly and even crashes.

What recommendations would you give to someone considering this product?

Among the top and continually developing enterprise-wide technologies is Oracle Enterprise Data Quality. Oracle Enterprise Data Quality is useful and gives best attributes that make it simple to cleanse data and see any processes when it involves cleaning massive data, such as client data.

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Jun 2022

Reliable Data Manager

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Oracle Enterprise Data Quality

What is Oracle Enterprise Data Quality?

Company Details

Need Assistance?

Awards & Recognition

Oracle Enterprise Data Quality Ratings

88 Likeliness to Recommend

96 Plan to Renew

83 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+89 Net Emotional Footprint

How much do users love Oracle Enterprise Data Quality?

Chart

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.

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.

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

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

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.

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

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

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

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

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.

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

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 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.

Oracle Enterprise Data Quality Reviews

Similar features but higher price tag

Likeliness to Recommend

Pros

Cons

Michael J.

Best software for data quality.

Likeliness to Recommend

Pros

Reliable Data Manager

Likeliness to Recommend

Pros

Most Popular Oracle Enterprise Data Quality Comparisons

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Feature Ratings

Data Source Connectivity

Data Matching

Record Deduplication

Dashboard

Data Enrichment

Record Management

Data Monitoring and Administration

Reporting Components

Data Profiling

Data Cleansing

Geocoding

Vendor Capability Ratings

Vendor Support

Ease of Data Integration

Breadth of Features

Business Value Created

Product Strategy and Rate of Improvement

Quality of Features

Ease of Customization

Ease of IT Administration

Availability and Quality of Training

Usability and Intuitiveness

Ease of Implementation