Oracle

Oracle Enterprise Data Quality

8.2 /10

What is Oracle Enterprise Data Quality?

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data resulting in trustworthy master data that integrates with applications to improve business insight.

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

Filter By

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.

86 Likeliness to Recommend

1
Since last award

95 Plan to Renew

1
Since last award

81 Satisfaction of Cost Relative to Value

3
Since last award

{y}

{name}

Emotional Footprint Overview

+86 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

10% Neutral

85% Positive

Pros

Respectful
Enables Productivity
Friendly Negotiation
Reliable

Feature Ratings

Average 81

Data Source Connectivity

Data Matching

Dashboard

Data Integrity

Reporting Components

Usability

Record Deduplication

Data Enrichment

Geocoding

Data Profiling

Data Monitoring and Administration

Vendor Capability Ratings

Average 80

Vendor Support

Business Value Created

Availability and Quality of Training

Ease of Data Integration

Product Strategy and Rate of Improvement

Quality of Features

Breadth of Features

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness

Ease of Implementation

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: Finance
Industry: Other
Involvement: End User of Application

Validated Review

Anonymous Reviewer

Submitted Jun 2020

Fantastic product,

Likeliness to Recommend

9 /10

Pros

Reliable
Trustworthy
Acts with Integrity
Client's Interest First

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

86 Likeliness to Recommend

1 Since last award

95 Plan to Renew

1 Since last award

81 Satisfaction of Cost Relative to Value

3 Since last award

Emotional Footprint Overview

+86 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.

Data Integrity Includes data accuracy, data maintenance, and data verification and validation.

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

Usability Includes business-oriented interface made available to business and technical users in a manner relevant to their role.

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 .

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

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

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.

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.

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.

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.

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

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.

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.

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.

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

Anna Z.

GREAT PRODUCT THAT HELP A LOT

Likeliness to Recommend

Pros

Fantastic product,

Likeliness to Recommend

Pros

Easy to use

Likeliness to Recommend

Pros

Cons

Most Popular Oracle Enterprise Data Quality Comparisons

Talend Data Quality

Melissa Data Quality Suite

SAS Data Quality

PiLog Data Quality Management

IBM InfoSphere QualityStage

Cloudingo

1
Since last award

1
Since last award

3
Since last award

Feature Ratings

Data Source Connectivity

Data Matching

Dashboard

Data Integrity

Reporting Components

Usability

Record Deduplication

Data Enrichment

Geocoding

Data Profiling

Data Monitoring and Administration

Vendor Capability Ratings

Vendor Support

Business Value Created

Availability and Quality of Training

Ease of Data Integration

Product Strategy and Rate of Improvement

Quality of Features

Breadth of Features

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness

Ease of Implementation