My main use case for Ataccama ONE Platform is to develop data quality rules, apply them in the monitoring project, and then triage the issues with the data quality rules. For example, we had a project of billing at MetLife. For the MetLife billing, we developed both business rules and technical rules to apply to the data. We developed those rules and then identified issues, and we used DQIT and ServiceNow as an issue tracker for the team to identify the issues and rectify them at the source.
data engineer at a tech vendor with 10,001+ employees
Real User
Top 10
Dec 10, 2025
My main use case for Ataccama ONE Platform is mastering my customer data like customer details, address, phone number, and email, as we experience a lot of duplicates. We use Ataccama ONE Platform for mastering and making the data unique. For example, I use Ataccama ONE Platform in my daily work to handle a customer called John Doe with the address as one single tree, and we have one more record with the same customer name John Doe but with the address as four single tree. The PIN of those two customers is the same, and even the phone numbers and emails are the same, so we have two customers. We use Ataccama ONE Platform to merge those two customers and have one unique record, which is one master record. This is our primary purpose, and I do not have anything else to add about how I handle these kinds of data issues.
Some of the use cases for Ataccama ONE included data quality, identifying and mapping to Collibra, which was their data governance tool. It was critical for them to interface directly with that tool. They also used Ataccama for connecting to their ticketing system and later for inline fixing of data quality issues, moving them to someone able to take that issue and do course correction.
Data analyst at a tech vendor with 10,001+ employees
Real User
Sep 27, 2023
We are using the product for data quality. We can connect it with data sources, such as Microsoft SQL, Oracle, Teradata, and local systems, including shared drives, to check data quality and profiling. We can also use it to write rule logic as well.
Ataccama ONE Platform provides a comprehensive solution for profiling, cleansing, and integrating data with a user-friendly drag-and-drop interface, enhancing data quality and governance.Ataccama ONE Platform enhances data profiling and cleansing with easy configuration and robust integration, such as with Collibra. Users value its drag-and-drop capabilities, supporting mainframe, AI, and machine learning. The platform improves data security through profiling and masking while offering...
My main use case for Ataccama ONE Platform is to develop data quality rules, apply them in the monitoring project, and then triage the issues with the data quality rules. For example, we had a project of billing at MetLife. For the MetLife billing, we developed both business rules and technical rules to apply to the data. We developed those rules and then identified issues, and we used DQIT and ServiceNow as an issue tracker for the team to identify the issues and rectify them at the source.
My main use case for Ataccama ONE Platform is mastering my customer data like customer details, address, phone number, and email, as we experience a lot of duplicates. We use Ataccama ONE Platform for mastering and making the data unique. For example, I use Ataccama ONE Platform in my daily work to handle a customer called John Doe with the address as one single tree, and we have one more record with the same customer name John Doe but with the address as four single tree. The PIN of those two customers is the same, and even the phone numbers and emails are the same, so we have two customers. We use Ataccama ONE Platform to merge those two customers and have one unique record, which is one master record. This is our primary purpose, and I do not have anything else to add about how I handle these kinds of data issues.
Some of the use cases for Ataccama ONE included data quality, identifying and mapping to Collibra, which was their data governance tool. It was critical for them to interface directly with that tool. They also used Ataccama for connecting to their ticketing system and later for inline fixing of data quality issues, moving them to someone able to take that issue and do course correction.
Primarily, the use cases pertain to the governance classification of metadata.
We are using the product for data quality. We can connect it with data sources, such as Microsoft SQL, Oracle, Teradata, and local systems, including shared drives, to check data quality and profiling. We can also use it to write rule logic as well.