Oracle

Oracle Enterprise Data Quality

7.9 /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

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Awards & Recognition

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

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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

80 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

+84 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

11% Neutral

84% Positive

Pros

Respectful
Enables Productivity
Friendly Negotiation
Reliable

Feature Ratings

Average 80

Data Source Connectivity

Data Matching

Dashboard

Data Integrity

Usability

Reporting Components

Geocoding

Record Deduplication

Data Profiling

Data Enrichment

Data Monitoring and Administration

Vendor Capability Ratings

Average 80

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Ease of Implementation

Business Value Created

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Data Integration

Quality of Features

Vendor Support

Breadth of Features

Oracle Enterprise Data Quality Reviews

Ranjeet Y.

Role: Public Sector
Industry: Banking
Involvement: Vendor Management and Renewal

Validated Review

Verified Reviewer

Submitted Apr 2024

"Enhancing Data Quality Management: Oracle EDQ.

Likeliness to Recommend

7 /10

What differentiates Oracle Enterprise Data Quality from other similar products?

1. Integration with Oracle Ecosystem 2. Scalability and Performance

What is your favorite aspect of this product?

One standout aspect of Oracle EDQ is its seamless integration with the broader Oracle ecosystem. This integration enables organizations to leverage the full power of Oracle's data management solutions, including Oracle Data Integrator, Oracle Master Data Management, and Oracle Data Governance.

What do you dislike most about this product?

one of the consideration is the cost associated with Oracle EDQ, which may be prohibitive for some organizations, especially smaller businesses or startups with budget constraints.

What recommendations would you give to someone considering this product?

1. Define Clear Objectives: Clearly define your data quality objectives and business requirements before evaluating Oracle EDQ. Identify specific pain points, data quality challenges, and desired outcomes to ensure that the platform aligns with your organization's needs. 2. Assess Integration Requirements: Evaluate how Oracle EDQ will integrate with your existing data management infrastructure, including databases, applications, and other data sources. Consider factors such as compatibility, data formats, and integration capabilities to ensure seamless interoperability.

Pros

Trustworthy
Altruistic
Saves Time
Client Friendly Policies

Siva kumar A.

Role: Information Technology
Industry: Communications
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2024

"Oracle Enterprise Data Quality: Streamlined Data

Likeliness to Recommend

10 /10

What differentiates Oracle Enterprise Data Quality from other similar products?

Oracle Enterprise Data Quality (EDQ) sets itself apart from similar products with its comprehensive data profiling and cleansing capabilities. It offers advanced tools for analyzing data quality, identifying inconsistencies, and understanding data patterns. With its scalable architecture, EDQ efficiently handles large volumes of data, ensuring optimal performance as data volumes grow. Integrated seamlessly into the Oracle ecosystem, EDQ integrates with other Oracle products and platforms, providing a cohesive data management solution. Its robust features for data governance, including data quality monitoring and metadata management,

What is your favorite aspect of this product?

Quality, Effeciency

What do you dislike most about this product?

Nothing, Everything is fine

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Avinash G.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

Easy to use and I really like it

Likeliness to Recommend

10 /10

What differentiates Oracle Enterprise Data Quality from other similar products?

It's functionalities and development purpose of this product

What is your favorite aspect of this product?

The database management part for the development

What do you dislike most about this product?

Nothing to dislike everything is good in this environment

What recommendations would you give to someone considering this product?

I'll suggest to all my friends and colleagues

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

86 Likeliness to Recommend

1 Since last award

95 Plan to Renew

1 Since last award

80 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+84 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.

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

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

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

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

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.

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

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.

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.

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.

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

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.

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.

Oracle Enterprise Data Quality Reviews

Ranjeet Y.

"Enhancing Data Quality Management: Oracle EDQ.

Likeliness to Recommend

Pros

Siva kumar A.

"Oracle Enterprise Data Quality: Streamlined Data

Likeliness to Recommend

Pros

Avinash G.

Easy to use and I really like it

Likeliness to Recommend

Pros

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Feature Ratings

Data Source Connectivity

Data Matching

Dashboard

Data Integrity

Usability

Reporting Components

Geocoding

Record Deduplication

Data Profiling

Data Enrichment

Data Monitoring and Administration

Vendor Capability Ratings

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Ease of Implementation

Business Value Created

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Data Integration

Quality of Features

Vendor Support

Breadth of Features