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.
Data Architect & Senior ETL Developer at CloudBC Labs
Real User
Top 20
2023-08-14T13:47:04Z
Aug 14, 2023
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.
Manager at a financial services firm with 5,001-10,000 employees
Real User
Top 20
2023-04-14T09:04:11Z
Apr 14, 2023
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.
Informatica Developer at a government with 1,001-5,000 employees
Real User
Top 20
2022-09-27T19:37:55Z
Sep 27, 2022
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.
Principal Applications System Analyst at a university with 10,001+ employees
Real User
Top 5
2022-08-08T15:09:53Z
Aug 8, 2022
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.
Data Engineer at a tech services company with 51-200 employees
Real User
Top 10
2021-02-24T13:30:00Z
Feb 24, 2021
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.
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.
Senior Architect at a computer software company with 10,001+ employees
Real User
2021-01-27T12:09:58Z
Jan 27, 2021
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.
Deliver high-quality clean and trusted data with an enterprise class data quality and governance solution that scales, regardless of size or format or data, platform, or technology.
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.
We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization.
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.
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.
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.
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.
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.
We are using it for extraction purposes for some of our projects. We extract and test the data.
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.
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.
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.
We use this solution for data quality management.
Our primary use case for this solution is purely for data quality analysis.