2021-04-19T16:14:57Z

What is your primary use case for Collibra Lineage?

Miriam Tover - PeerSpot reviewer
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PeerSpot user
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5 Answers

Aditya Pawar - PeerSpot reviewer
Real User
Top 5
2024-03-01T09:28:04Z
Mar 1, 2024

I use the solution to link the technical and business terms and see the lineage between different technical terms. To track data flow, we start on the report level if there is a compliance requirement. We can see which data set a particular resource is using. We can see how the data table for the data set is created. We go back and trace the source. We try to define it from the source to the target end to end.

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JV
Real User
Top 20
2023-02-15T08:26:12Z
Feb 15, 2023

We use this solution for data-access management purposes.

Taher Dungrawala - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-07-04T11:57:02Z
Jul 4, 2022

We used Collibra Lineage mainly for end-to-end lineage. Additionally, we wanted to use it for business velocity data cataloging and data quality.

Pavel Derban - PeerSpot reviewer
Real User
Top 10
2022-04-09T09:06:00Z
Apr 9, 2022

We use it for compliance and data quality.

Kriti Trigunayat - PeerSpot reviewer
Real User
Top 10
2021-04-19T16:14:57Z
Apr 19, 2021

I'm not a part of the tech team. I'm definitely part of the master data management, wherein we are providing services with respect to master data. Our services are focused on just the business-specific areas such as pharma commercials and pharma supply chains, and we have also built the lineage in R&D areas. In some specific use cases, we are mapping the processes, the respective sources and basically using the entire asset model of Collibra, starting from process, to attributes, to data modeling. We are tracking everything in Collibra.

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Data governance is the set of processes, policies, and technologies that ensure data quality, accuracy, and security throughout its lifecycle. Data governance tools help organizations implement and manage their data governance programs. These tools can automate many tasks involved in data governance, such as data discovery, classification, lineage, and quality assessment.
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