Informatica Data Quality Primary Use Case
JD
reviewer1229541
Principal Applications System Analyst at a university with 10,001+ employees
A lot of times, we use it for basic profiling. That's its most common use case. Currently, we are also in the process of establishing a set of ongoing processes around Data Quality that would feed into and augment our current metadata. So, from that standpoint, our usage is primarily around some of the basic dimensions of data quality, such as completeness, conformity, consistency, timeliness, accuracy, etc. We measure each of those or at least create quality rules that measure each of those aspects. We're in the process of doing this for all of the data that's currently feeding into our analytics engine. These are some use cases that we're currently doing on a daily basis.
View full review »Data Quality involves quality checks and data profiling. It scans through the data, providing metrics like the number of nulls and unique values. Informatica Data Quality profiles the data.
View full review »MW
Mevi35245
Senior Market Analyst at a computer software company with 1,001-5,000 employees
A wide range of solutions exist because data is primary, and my company looks over many overall data management solutions, from which Informatica Data Quality becomes one of our biggest priorities.
Buyer's Guide
Informatica Data Quality
March 2024
Learn what your peers think about Informatica Data Quality. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
768,740 professionals have used our research since 2012.
AP
Angel Pineda
Data Architect at CEMEX
Our primary use case of this product is for data management relating to customers and contact information. It's a global resource, we ensure the quality of our customer information and primary attributes. I'm a principal data architect and we are customers of Informatica.
View full review »ED
Dooms Eric
Independent Consultant at Telenet BVBA
I use Informatica Data Quality to consolidate master data across our organization, ensuring consistent and high-quality data. Combining MDM and data quality features, we address issues like customer data inaccuracies. Additionally, we document business terms in our data catalog for a unified view across the company.
RK
RaviKumar22
Manager at a financial services firm with 5,001-10,000 employees
Our organization operates in the financial industry and we utilize the solution to gather and incorporate high-quality data, making it available in the data marketplace.
ES
Edvin Solopchuk
Informatica Developer at a government with 1,001-5,000 employees
We don't use profiling as much, however, we do use it, in certain cases, for profiling. We use the Analyst tool to do out-of-box, high-level profiling of data to see high-level quality of completeness, and uniqueness, et cetera. Mainly, we use the Developer tool to connect to the sources and to write data quality rules.
View full review »We had proof of concepts where certain test cases were given to improve the functionality of the vendor regarding the supply chain.
So, it was a proof of concept. It was not applied in production.
It was just illustrating the capabilities of the platform, and we were comparing it with other platforms.
View full review »JG
reviewer2284368
Data Quality Consultant at a financial services firm with 1,001-5,000 employees
We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization.
View full review »Our primary use case for this solution is purely for data quality analysis.
View full review »HS
Hariprasad-Sharma
Head of Mass Data Manager at a tech services company with 10,001+ employees
We use this solution for data quality management.
View full review »SK
reviewer1491816
Senior Architect at a computer software company with 10,001+ employees
We use Data Quality for healthcare projects, and although it's not its prime purpose, we also use it to extract data. Compared to PowerCenter, it's a little easier to use — we designed the mapping ourselves. In short, we use Data Quality primarily for extraction purposes.
Within our organization, there are 10 employees using this solution.
View full review »SK
reviewer1491816
Senior Architect at a computer software company with 10,001+ employees
We are using it for extraction purposes for some of our projects. We extract and test the data.
View full review »SN
reviewer1080891
Architect at a tech services company with 501-1,000 employees
Our primary use case of this solution is to improve issues of security, quality and accuracy.
We are partners of Informatica and I'm an architect.
AE
AmanyEldaly
Data Engineer at a tech services company with 51-200 employees
I starting with the design and discovery phase to detect data issues by using the profiling service, then started to analyze the data to determine and fix issues with it.
View full review »Buyer's Guide
Informatica Data Quality
March 2024
Learn what your peers think about Informatica Data Quality. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
768,740 professionals have used our research since 2012.