Oracle Data Quality Reviews

Name: Oracle Data Quality
Brand: Oracle
Rating: 4.2 (8 reviews)

4.2 out of 5

8 reviews
88% willing to recommend

592 followers

What is Oracle 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.

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Oracle Data Quality is the #15 ranked solution in top Data Quality solutions. PeerSpot users give Oracle Data Quality an average rating of 8.4 out of 10. Oracle Data Quality is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Oracle Data Quality vs Informatica Intelligent Data Management Cloud (IDMC). Oracle Data Quality is popular among the large enterprise segment, accounting for 77% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 32% of all views.

Buyer's Guide

Data Quality

November 2024

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Featured reviews

Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.

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Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

We primarily work with the on-premises version, although we do have one project that uses the cloud-based deployment. The cloud version is a recent offering from Oracle. My advice to anybody who is implementing this solution is to understand and define the business needs properly. All of the requirements have to be properly defined. This will allow you to take advantage of the best benefits of Oracle Data Quality. It is important that you don't keep changing the requirements during implementation because it can become very messy. There can be a lot of issues that come from this. Creating the right roadmap for the various types of data is very important. We have not had any major challenges in working with this product. Nonetheless, no product is perfect and there is always an improvement that is needed. I would rate this solution a nine out of ten.

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reviewer1572702

Project Manager/Application Architect at a insurance company with 1,001-5,000 employees

Because we need to do a lot of coding with Oracle Data Quality, we are actually looking into transitioning to a CRM. We like having new ways to interact with the application system, such as to click and drag and to build a program of the flow process. Instead of coding, we would be able to actually build in processes and interact more with the system from the front end. However, I think Oracle Data Quality is definitely worth giving a try. It's a good product. It will help keep your data in line with other systems. So, I would rate it at eight on a scale from one to ten.

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Oracle Data Quality mindshare

As of November 2024, the mindshare of Oracle Data Quality in the Data Quality category stands at 1.7%, down from 2.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Quality

Key learnings from peers

Valuable Features

"The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period.You have to do the validation very quickly, so the solution helps in that area of data quality.Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company."
"I have found the most valuable features to be data cleansing and deduplication."
"With Oracle Data Quality, the most valuable feature is entity matching."

Room for Improvement

"Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality.What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."
"Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."
"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script."

Pricing

"The price of this solution is comparable to other similar solutions."
"The vendor needs to revisit their pricing strategy."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Data Quality Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

32%

Computer Software Company

10%

Manufacturing Company

University

Real Estate/Law Firm

Comms Service Provider

Non Profit

Recruiting/Hr Firm

Wholesaler/Distributor

Retailer

Energy/Utilities Company

Healthcare Company

Consumer Goods Company

Government

Educational Organization

Logistics Company

Media Company

Transportation Company

Insurance Company

Legal Firm

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Learn more about Oracle Data Quality

Oracle Data Quality was previously known as Datanomic.

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Oracle Data Quality customers

Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,