We do the integration work for our multiple clients. Their problem is that many of their legacy systems lack a defined data or business glossary for their data attributes. First, they want to build a data catalog with a proper business glossary. Second, they aim to establish data lineage to track their data's transformations. Lastly, in some cases, they want to integrate data quality rules or business rules across the platform using Alation. These are the three main use cases they are looking to address.
We've recently onboarded the Power BI reports, and the inbuilt connector had an issue wherein it was not scanning the custom pages of Power BI. There's a mandate in our organization that details of the report will be on one of the custom pages. So we onboarded the custom page as well, and we have successfully achieved the task.
We're a superannuation organization, so we deal with people's pensions. We invest their money for retirement. Our users are mostly core data management professionals, including business analysts, data analysts, architects, engineers, and BI developers. There's also a handful of consumers who view content. We're working with a range of stakeholders and data sources, and we haven't covered all of the organization yet. But most of the key ones are embedded into the tool. We've built up the catalog through agile iterations or sprints. We're working with the business to understand the information, curate it, and embed that knowledge into Alation Data Catalog so that it's available to those people to support their data use cases.
Senior Data Governance Specialist at a insurance company with 10,001+ employees
Real User
2021-10-14T18:59:00Z
Oct 14, 2021
We have one deployment on AWS cloud and our enterprise instances use the Alation cloud. We use it primarily for supporting our data scientists. We also use it for sharing data governance, document policy information, and data classification information. Our use cases are for a lot of data literacy and data usability.
Alation pioneered the data catalog market and is now leading its evolution into a platform for a broad range of data intelligence solutions including data search & discovery, data governance, lineage, stewardship, analytics, and digital transformation.
Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata...
We do the integration work for our multiple clients. Their problem is that many of their legacy systems lack a defined data or business glossary for their data attributes. First, they want to build a data catalog with a proper business glossary. Second, they aim to establish data lineage to track their data's transformations. Lastly, in some cases, they want to integrate data quality rules or business rules across the platform using Alation. These are the three main use cases they are looking to address.
We try to federate Alation Data Catalog from different parts of the project onto one platform.
We are using the solution to query databases.
We primarily use the product as a data catalog tool to search for data assets like tables or columns.
The tool's metadata cataloging is the most valuable feature.
We've recently onboarded the Power BI reports, and the inbuilt connector had an issue wherein it was not scanning the custom pages of Power BI. There's a mandate in our organization that details of the report will be on one of the custom pages. So we onboarded the custom page as well, and we have successfully achieved the task.
I use Alation Data Catalog for metadata management and data ownership, quality, and lineage.
We're a superannuation organization, so we deal with people's pensions. We invest their money for retirement. Our users are mostly core data management professionals, including business analysts, data analysts, architects, engineers, and BI developers. There's also a handful of consumers who view content. We're working with a range of stakeholders and data sources, and we haven't covered all of the organization yet. But most of the key ones are embedded into the tool. We've built up the catalog through agile iterations or sprints. We're working with the business to understand the information, curate it, and embed that knowledge into Alation Data Catalog so that it's available to those people to support their data use cases.
We have one deployment on AWS cloud and our enterprise instances use the Alation cloud. We use it primarily for supporting our data scientists. We also use it for sharing data governance, document policy information, and data classification information. Our use cases are for a lot of data literacy and data usability.