I think the best feature of Collibra Platform is its easy-to-use UI. It's an integrated platform where we can have an enterprise level of elements catalog assigned to different owners and track the lineage. We also have a business lineage and technical lineage for different types of users, which is really helpful in understanding different use cases in different scenarios. The UI is really easy to use.

Business lineage is important when we are showing this to someone who is at a very senior level and we want them to understand what kind of data we are using and what kind of insights we are deriving, but they are not very versed with the schema or the technical terms related to that dataset. They can understand and clearly see what the dataset is really about and how it is being connected from top to bottom. That's been really helpful. Technical lineage is mostly used by the engineering teams to track the source of the data and to understand if there are any breakages in the data pipelines. That's helpful. The easy to use UI means that if any business user is using it and is not very technical in nature, they are able to quickly pick up at least the glossary part of Collibra Platform and the navigation is also not much. Everything is just right there. It doesn't take much time to get well-versed with it. You just know what to do when you see it.

I have seen return on investment. Basically, earlier the team was cataloging using Excel and there was no automated process. The Excel had to be shared with everyone else and multiple users had to be deployed on that. Now with Collibra Platform, we can use it very quickly. We can share it with multiple users and the users are able to see everything in one space at one time without any glitches and without any changes. It has been really streamlined. The return on investment has been great. I think the employees have become more productive. They are able to take on a lot more work, which is really required. There's a lot of work. Collibra Platform has made the employees 20 to 30 percent more productive. Collibra Platform has increased the discoverability and productivity of employees by at least 30 percent, which is great.

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The best features right now that Collibra Platform offers is obviously the business glossary, which is very extensive, and there are different types of assets that can be created with different types of relations that can be added. It is a very good metadata management tool along with clubbed in concepts of data modeling. I would say business glossary, physical data dictionary, and metadata extraction from various sources are the best three features in Collibra Platform, and then also creating lineage out of it. It is a very business user-friendly tool as well.

Definitely, the user-friendliness is one of the key standpoints which makes Collibra Platform different from other metadata management tools which are more focused on technical metadata management. But along with that, Collibra Platform's catalog or the glossary is very extensive, which again makes Collibra Platform stand out from different other tools in the market.

There have been several impacts from Collibra Platform. Through the business glossary, the data discovery time, such as the data search time gets reduced by almost 50%. Then there are efforts of business stakeholders or domain leads which get reduced, so that is a kind of dollar saved. One data steward or one business steward can use Collibra Platform and reduce the manual data management work by 50%. So you can save every 50% of work saved per domain translating into 50% of dollars earned. Search time gets reduced significantly, I would say 50 to 75%. The stewardship activities or the domain ownership activities get reduced significantly, multiplying into saving dollars. The best thing is the volume it is able to handle, so manual effort gets reduced by almost 90 to 95%.

I tracked the reduction in manual effort or search time for different projects. It is not just one specific project; I have worked in multiple projects where I have seen this. The manual search time reduces a lot because ownerships are very clearly defined, so you know whom to reach out to, where to reach out to, and which team to reach out to. All the data in your landscape has a context added to it and has a business description added to it. You get to see which database schema table or column it belongs to, so you get to know an entire idea of the data which you are using. If you have a lineage already developed, then you can backtrack to see the source layer's data as well, which actually reduces a lot of time for you.

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Collibra Platform offers numerous features, and recently I have been looking into the AI agent feature. The strongest features for me are the Data Catalog, Business Glossary, workflows, and the operational model behind roles and responsibilities. The Data Catalog is valuable because it gives users a central place to find and understand data assets instead of relying on scattered documentation or asking different people where something is stored or used. I actively use the DataBricks Unity Catalog integration, which works very well for our organization. The Business Glossary is important because it helps align business and IT around the same definitions, which is especially useful when different teams use the same term in slightly different ways. Workflows stand out because they help standardize governance processes, such as approvals, issue handling, and creation of new terms and assets, making the process more controlled and less dependent on individuals. The operating model is a key strength because Collibra Platform allows you to connect data assets with owners, stewards, responsibilities, policies, different standards, and rules, which gives better visibility to who is accountable for what and how data should be governed, ultimately giving maturity to the company and easing the work.

Collibra Platform has had a positive impact on structure, transparency, and alignment around data in my organization. One clear improvement is that business definitions, standards, business rules, and ownership information can be kept in one central place. This makes it easier for business and IT teams to use the same language and understand who is responsible for which data. It also improves visibility since users can better understand what data exists, what it means, where it is used, and which governance rules apply. From a support perspective, it helps because I can monitor the platform, follow up on connectors and releases, and provide clear monthly reporting. Overall, the biggest benefit is that Collibra Platform helps move data governance from scattered documents and informal knowledge into a more structured and controlled platform.

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Collibra Platform offers best features including a velocity pack where some of the workflows are already provided when you enter into the platform. These are very specific to Collibra Platform, which no other vendors such as Alation or Purview provide. Collibra Platform provides a great user experience for the first time someone is entering Collibra Platform, as they have a few things that are already packaged for you, so you don't have to start from scratch.

Within Collibra Platform, if you go to the documentation section within the workflows, you can find several workflows which you can utilize. These are already present there, which helps you to start from ten to twenty percent rather than starting from zero. These are workflows that help get you ahead.

In terms of features, the UI experience is great, whether it is lineage, governance section, or navigating from one domain to another. It is very useful in terms of the features. The settings sections have multiple options where you can add user groups. Everything is very well configured, and you can change the number of attributes a definition has. It is very configurable in that sense. The UI is also very configurable in terms of what you intend to have, and you can get your logo up on the website.

Improvements in efficiency is one of the outcomes thanks to Collibra Platform because previously users used to search for data and had to wait for a certain amount of time to get a reply from another user. Now with Collibra Platform in place, the user can automatically search for the data and determine whether he or she has access to it. It has become very user-friendly, saving time and energy for the different departments. It has increased cross-departmental support, as people are less reliant on each other because there are certain checks already in place.

When we talk about the impact of Collibra Platform, our company does consulting for other companies. We have some out-of-the-box solutions that we offer, and apart from that, if a client has some requirement, we try to fulfill that in terms of our function as an organization. We are more focused towards providing workflows which require certain skills, and those companies that don't possess those skills reach out to us to get these features onto their platform.

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The best features of Collibra Platform include workflows primarily for governance perspective, where you can define your asset lifecycle, and use these workflows to govern those and collaborate with other stakeholders. We gather feedback collectively and notify when certain attributes or assets are changed. Another important feature is the data lineage I have described earlier, which helps in impact assessment before making any changes, showing where a particular field is being used in a report, data quality report, or normal report. It also assists in root cause analysis if something breaks down in your data pipeline. Recently, Collibra Platform also implemented certain AI features, such as generating descriptions for technical metadata that often lacks descriptions in data sources, which helps to define out-of-the-box or standard definitions of data assets such as tables and columns. These are the main features, and Collibra Platform also offers AI governance, which we do not use currently but is a powerful feature in Collibra Platform.

Collibra Platform helps to understand underlying policies and compliance classifications, including PII or non-PII classifications, crucial for accessing confidential data. This significantly eases the data finding and shopping process, allowing for quick access to necessary data.

The governance implemented provides clear ownership, so you already know who the actual owner is without chasing around. You find the real owner in Collibra Platform, which is always up to date, helping to identify the concerned party, and using a workflow, you define the lifecycle of collaboration, such as who should participate, who should be the reviewer and approver, and who should take action on the data, involving data stewards, business data stewards, technical data stewards, and the actual data owners. This makes life easier, improving data findability or searchability by approximately thirty to forty percent through these workflows.

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The best features that Collibra Platform offers are data classification and automated data tagging, specifically the data classification of financial and sensitive data, and the automated workflows that can connect to any platform, such as Teradata or Hadoop, to extract the technical metadata, which is very useful for our use cases for the business users.

The automated workflows help my business users specifically because we are migrating from our legacy system over to the cloud, Google Cloud Platform, and by leveraging these automated workflows, we can bring in a lot of technical metadata over to Collibra and at the same time onboard our business users. Collibra Platform offers a very customized user interface, making onboarding easy for us. Report generation was leveraged and was easy for the business users, and the end-to-end lineage was a significant differentiation that Collibra Platform offered, which was beneficial for our end users.

Collibra Platform has positively impacted my organization in all the ways I mentioned, as the benefits and user adoption for different data stewards and data custodians were easier because it has a very nice GUI. In real time, we can import a lot of metadata from different databases and even the cloud platform, which made migration to Google Cloud from the legacy platform easy and completed on time, while also offering benefits from a cost perspective through our market research.

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Collibra Platform offers an intuitive user interface that allows you to navigate easily even without prior experience. The API functionality for ingesting metadata is also part of the core features.

When I need to register data sets manually, I can input API credentials and create BigQuery tables, modify schemas, and manage the records of every table through the API. Collibra Platform's APIs are very well documented, which makes the process smooth and motivates me to collaborate more.

Collibra Platform has impacted my organization positively because it provides comprehensive data governance functionalities for enterprises. It centralizes policies, ownership, business definitions, and rules, resulting in fewer inconsistencies and standardized terminology across the organization.

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Collibra Platform's best features are data cataloging, the glossary view, and the lineage part from both the data asset side as well as the business asset side. Collibra Platform's data quality integration is now bug-free, and I am currently using it to bring in DQ scores from the data quality side to the DIC, which is fully integrated and working well.

Automated workflows are an interesting part of Collibra Platform, providing flexibility, a very good user experience, and a nice dashboard to present. Collibra Platform's automated workflows have helped my team with a wide variety of integrations available out-of-the-box, including Snowflake, Power BI, Informatica, and other JDBC databases.

As a result of using Collibra Platform, I have access to many metrics regarding company internal policies, including the golden rules, their expiry, and everything which provides a better view of which assets are policy compliant. This is measurable and helps me understand which policies govern which data assets, their expected expiry dates, and reapproval needs. The quality of data, critical data elements, and personal identifiable information are also classified for improving the accuracy of data.

Collibra Platform has achieved improved data discoverability and governance standardization with reduced manual efforts and better compliance visibility. Collibra Platform delivers value that is more operational and strategic rather than immediate cost savings, with faster data discovery and reduced analyst effort, as well as better audit and compliance readiness.

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The best features of Collibra Platform, in my opinion, are that it is very user-friendly and integrated with basic SQL. Collibra Platform also has Collibra AI within the platform to help resolve issues very easily.

Collibra AI has helped me by identifying approved datasets and models. It also helps track data models with Collibra Platform.

Collibra Platform has positively impacted my organization through additional features including Critical Data Elements governance, automatic workflow management, and stewardship. Collibra Platform also helps with business glossary and audit management.

After using Collibra Platform, my organization was able to identify which datasets are approved. Business definitions became very clear, and it also helped establish clear data ownership.

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I think Collibra Platform is a really great tool that is user-friendly, and the person using it does not need much technical background. The user should be smart enough to know data governance rules, but a technical background is not mandatory. For banks, which are heavily regulated with regulations such as Basel IV and GDPR, Collibra Platform proves to be useful for regulators in controlling data. It provides end-to-end traceability and allows us to define exact definitions of certain rules across departments, which brings out the actual value in banking.

The best features Collibra Platform offers include traceability, audit readiness, and making data defensible. It is great for regulatory compliance, clearly showing data lineage, applying access rules, defining a business glossary, and having a data catalog. It also includes workflow automation, which differentiates it from other data lineage tools, and provides data quality monitoring. For me, the top features would be data cataloging and glossary, lineage and workflows, and compliance.

With Collibra Platform, workflow automation allows us to request analysts to access customer transaction data. It can auto-trigger workflows, starting a predefined approval process with step-by-step approvals from the data owner to compliance and IT security. It includes automated checks verifying if data is sensitive or if the user has the required role or training. Access is granted or rejected, and everything is logged, making workflow automation a way to turn governance policy into executable processes.

After implementing Collibra Platform, we maintained a consistent definition for customer balance across all banking departments such as finance, retail, and risk. Earlier, teams had different calculations that led to inconsistent reports. Collibra Platform helps us achieve faster decision-making, improve data trust and accuracy, and reduce conflicting reports. It also provides full transparency of data lineage, where everyone can see the entire lifecycle of the data. After introducing Collibra Platform, our operational efficiency increased, reducing manual processes and cutting data access approval times significantly.

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We use Collibra Governance for metadata management and access restrictions, as well as lineage.

We use Collibra's Data Stewardship features. In terms of role assignment and accountability, there are three levels of users: people who are data users, then there are data stewards, who are users of data enforcing compliance and rigor around data, and finally, the data governor who sets up policies and principles.

We have utilized Collibra's Business Glossary. It is good for reference of the data, understanding what the data is about, which helps maintain data accuracy.

Collibra's integration capabilities benefit our organization, although compared to the rest of the market, it is a bit cumbersome, but it's acceptable.

My experience with Collibra's collaboration tools in improving data literacy has been quite good. I think it is one of the best for helping people understand and discuss certain data sets and manage workflows.

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The features of Collibra Lineage that I have found most valuable include its non-integrated, non-native nature, which is one of the unique features for customization. In my case, data engineers have created their approach with Snowflake. By using a customized approach, they develop simple solutions and integrate with Collibra. A custom lineage, technical lineage helps me to design or join all these multiple layers. For example, connecting three Oracle instances to AWS is not available out-of-the-box, so there is a function to customize.

The main benefits that Collibra Lineage provides include measurable advantages. Once I have Lineage implemented, I can implement any automation on top of that. When I classify the D's on the data product, I can transform that data word to all the related columns using automation and workflow. This functionality avoids needing to do everything manually, and business only has to handle it at one layer, which is the data product. The lineage connects backward, allowing me to push back all these D's across all connected columns and registers. It's useful for the technical team to understand how all the data businesses seem different.

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Unique to my organization is the data cataloging part and Edge; I use Edge of Collibra Platform to connect to different inbuilt data sources.

The best features Collibra Platform offers include data cataloging and a variety of APIs, allowing me to use Python and REST API to export or import data within Collibra Platform, and there is a lot of documentation available, along with fantastic support from Collibra Platform which helps whenever I encounter issues.

The documentation is clear and helpful, and it is easy to integrate with other tools using Collibra Platform's APIs. For example, I did an integration with Databricks to Collibra Platform to get all the assets from Collibra Platform, and it was very easy.

It is easy to define the business glossary in bulk with Collibra Platform, as I use Excel export to bulk create business glossaries, making it easy to tag, and the workflow capabilities are excellent, getting assigned to users when the workflow starts and making it easy to manage and track workflows from end to end.

Collibra Platform has positively impacted my organization by removing silos in AI governance, as prior to introducing Collibra Platform's workflow, processes were messy and done in silos; after introducing Collibra Platform, the process is thorough and significantly reduces my organization's risk.

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The most valuable features of Collibra Catalog are its customizability and ease of use. We created data dictionaries both by ingesting our database structures and for non-database sources. We also set up different communities, defining ownership and stewardship with customizable workflows.

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The best features Collibra Platform offers, in my opinion, include the ability to search deeply. If I have a term and I select it, I can see all the data governance utilities in terms of ownership, definition, and whether this data is considered to be private or public within my organization, as well as all the key information. For reports, if I have the domain for certain data and think it may be incomplete, I can upload a spreadsheet and update it within the platform. This information is very useful to my work.

Out of those features, I find myself using the feature of converting my domains into smaller views and getting more insights about the origin of a certain field within a table the most. It is having a broad view but also having a connection with a specific view at the same time, which helps me have a smoother traceability process.

Collibra Platform has impacted my organization positively. The main benefit is that we now have our best catalog organizer. Since we moved from one type of database that was mostly relational, we are now able to see other types of structures, and we can actually use spreadsheets, tables, and other types of information that could be generated from them.

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The best features of Collibra Lineage are quite user-friendly, and business users can use it much better than other catalog tools such as Talend or challenges according to my team. The traceability diagrams are very complicated and not user-friendly at all.

The automatic data flow mapping is effective; some of the integrations pose issues in terms of the configuration of those data sources, but it works fine. Even transformation platforms such as DVD work really well.

The integration with other Collibra Lineage products is valuable in our data governance initiatives. I have worked on many migration projects where organizations are moving away from other catalogs such as Talend or Informatica Axon and Informatica EDC to Collibra Lineage. I have worked on projects where we are creating the catalog from scratch on both fronts.

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The most important feature is the ease of use. The portal is very self-explanatory and robust. The tool also provides integration with a lot of sources.

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Collibra Platform offers features such as Collibra lineage, Collibra sampling, and bridging business objects and technical data, which really stand out to me.

Collibra lineage helps us to understand where the data comes from and is used to understand the lineage of the data. Sampling also helps to get an idea of the data.

Collibra Platform has positively impacted my organization by increasing data usage and helping teams build data products. Faster access and easy accessibility contributed to how data usage increased.

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It has various features such as cataloging data products and data sets, and it also has a marketplace and edge connectors to scan metadata. All these are various features, and the data quality aspects are there as well.

Discoverability is one of the key things we are always looking into.

Lineage is also available, including both technical and metadata lineage.

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The data quality module has improved significantly, and the data lineage feature is beneficial for understanding where data is coming from and identifying data duplications.

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One of the best features of Collibra Lineage is that it provides an end-to-end perspective of where data is used in the enterprise.

The positive benefit from using Collibra Lineage is that it provides an end-to-end perspective of data usage in the organization.

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Collibra Data Intelligence Platform impressively provides AI features.

I have noticed it works within one ecosystem where each tool is collaborating effectively.

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Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances. We connect Collibra to an application, enabling it to read and extract metadata, which is more efficient than manual processes. Additionally, Collibra Catalog is scalable and its servers have high uptime standards, making it reliable. View full review »

The workflows in Collibra Data Intelligence Platform are unique as no other Data Governance tool has this feature. The data quality functionality provides cutting-edge, next-level insights when compared to other tools such as Alation and Microsoft Purview. In governance, Collibra Data Intelligence Platform has an upper hand.

The mapping features in Collibra Data Intelligence Platform allow users to import and export Excel files. While importing Excel files, users can map to numerous assets. We can build relations using these imports and mappings, and obtain lineage information. Additionally, there is integration between Data Quality and the data intelligence platform, which enables another type of mapping.

The workflows in Collibra Data Intelligence Platform save substantial time by allowing us to create and assign tasks to business stewards and stakeholders. Instead of sending emails each day, we can create tasks that automatically generate notifications to streamline the process.

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One of the most impactful features of Collibra Governance is its cataloging of data. During my time with BT clients, we were able to efficiently catalog data on their on-prem infrastructure using Collibra Governance. The main feature of Collibra is the cataloging of data, which can be done effectively on any infrastructure. It can integrate with GCP's marketplace and maintain data consistency during cloud migrations. View full review »

The solution allowed us to quickly and efficiently implement our data governance operating model, including accountabilities, regulatory lineage, and data dictionaries. This was much faster and more efficient than manual methods or other tools like Informatica. I prefer Collibra Lineage for its self-service capabilities.

I created a use case and gave users access to data stores, allowing them to implement their data sets easily. In contrast, Informatica requires a dedicated team of IT experts to handle these tasks.

The solution's APIs can be seamlessly connected to anything. 

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The Data Catalog feature stands out most to me because it is organized, faster, and there are good integrations with other tools.

Collibra Platform has positively impacted my organization as we save a lot of time. We have saved up to 30% of manual work as a specific process or workflow became faster.

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The best features in Collibra Catalog are apparent when we do the integration and establish when we fetch the data into Collibra. We have an option to store everything into a particular domain under which all the data can reside. This feature stands out because when I worked with Alation and Microsoft Purview, they did not have these capabilities.

Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation.

The business glossary feature in Collibra Catalog contributes to consistent data terminology across my teams because it is easy to use. If you want to search any business term or business-related assets, you can go to the glossary and search for it directly. Instead of using global search, you can navigate directly to the glossary and find the asset more easily.

Collibra Catalog has improved my organization through data cataloging as we were able to find assets more easily. It was organized in a structured way so that everybody can understand where the assets reside and how to navigate them.

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I find the rule modification and the replication of the rules in Collibra happens very quickly. This is one of the aspects I appreciate the most. Additionally, the data lineage and catalog features have improved significantly over the years. While they were not perfect three years ago, they are much more mature now and continue to grow each year.

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The best features of Collibra Lineage include its ability to map data flows and provide clear visualizations. I appreciate the interface, the reporting capabilities, and the overall user experience about this product. I use the automatic data flow mapping and visualization feature, and it helps my organization by providing clarity in understanding data lineage.

I have been using this solution for three years, and the improvements I have seen include better data quality and compliance, which benefits my business mainly by reducing risks.

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Except for data quality, everything is perfect. Once you have your data systems integrated with the Collibra platform, and when you set up the frequency of refreshing the metadata from that data system, it happens automatically. It is based on how you define that data refresh.

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Collibra Platform's best features include guardrailed governance workflows, data classification, and cataloging.

I help organizations uplift their data governance using Collibra Platform, which has positively impacted our organization.

I have definitely noticed improvements in transparency for audits, compliance, and improvements in efficiency when it comes to ways of working, such as the migration of reports onto the cloud.

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I appreciate its user-friendly interface. It facilitates explaining and handing over the data between the teams. It enables a linear view of the data assets across different levels, providing a comprehensive understanding. While other tools may offer similar features, Collibra Governance stands out for its integration capabilities, particularly with platforms like Google Cloud. It is also well-regarded for its modern and cloud-based approach, which aligns with the needs of clients that utilize multiple cloud solutions.

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The solution's most valuable features are its scalability and how it can be integrated to any other intakes.

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When I initially started with Collibra, it was just a data cataloging platform with governance workflows around it. Now they have acquired a lot of other tools, or they have merged or acquired different platforms. 

It is a complete suite of tools for managing data. We can monitor data quality and take actions on the profiling results obtained by running data quality checks. Collibra helps catalog data assets, monitor the health of data assets, and take necessary actions. If we find data quality issues, it also provides a medium to capture those issues and how to remediate them. 

The workflows allow the creation of custom workflows based on needs. The newest addition in their tool suite is AI governance, which allows cataloging all AI models currently deployed or even in the pre-production stage. It helps document model meanings and the risks involved, thus managing all risks related to AI deployments.

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The solution's most valuable feature is data cataloging. The solution's data cataloging feature is mainly used for data discovery. Nowadays, data cataloging enables the data marketplace to share data within enterprises. That's another enablement that Collibra Governance does.

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Collibra Governance allows users to scan the data in the Schema and check its quality. Our organization's business customers add their company data to Collibra Governance and use data visibility to evaluate how the data can be increased or utilized for some business decisions.

For example, if you have ten columns in one table and assume one column has a couple of null values, Collibra Governance will identify and show you the number of null values present. The identified columns can be further manually checked and altered to enhance the total data quality. 

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We use the solution's Data Stewardship part.

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Collibra Governance comes with a lot of features, and we have used it in one of our projects for metadata management and data lineage. I have used the solution to create governance rules and a centralized repository for business glossaries.

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The platform is customizable. In comparison, Informatica Axon has predefined facets. Meanwhile, Collibra lets us create custom assets. It helps us build a powerful workflow mechanism where there can be any stewardship, including issue management governing assets using policies, regulations, or business rules. They are integrated very well. It has a lot of connectors with different source systems and efficient cataloging features.

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The most valuable features of the solution are the ability to PnP with all the various DBs in the background and to ensure that the Tableau is updated and any changes are visual while notifying about the integration to various business rules, data rules, data quality rules, and systems.

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The ability to pull together data lineage is one of the most valuable aspects of the product. 

The transparency was great. the business was able to come in and see the data and what exactly was happening in a way they couldn't before. The company could see job roles, data sources, and policies. 

The quality and visibility of the data links are great.

They used to rely on third parties, however, now, for example, they've brought in their own data quality tool. 

The beauty of the solution is that you can customize it quite a bit.

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The feature I like most in Collibra Governance is the lineage. It lets me do lineage that you can set up, for example, technical lineage and business lineage. The solution lets me associate the right people with the right assets, so anybody who has to look at end-to-end instances can use Collibra Governance and figure it out in terms of who to contact, what to do, and where to find what you need.

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The product's most valuable features are cataloging and classification. 

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The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations.

Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives. It's very important for identifying impacted reports during updates, making it crucial for decision-making due to its ability to link business and technical terms.

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Collibra is evolving their connectivity towards all programs across the IT landscape. The solution has good workflows and they now offer nine dimensions of data quality and provide a lot of features. The solution is based on AIML, Artificial Intelligence Machine Learning so that even if you don't know SQL, you can operate Collibra Data Quality. Collibra Workflows, Collibra Data Quality, are two good aspects that I would highlight from Collibra. Governance provides a user access mechanism, where you have all the data assets cataloged in Collibra. Not everyone can access all the data which is where the governance process comes in. They are constantly coming up with new features, and provide a monthly release.

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Workflows is the most valuable feature of Collibra because we will typically use an interface for it and we can customize it as per our needs.

It is also a very user-friendly tool which is easy to navigate and understand right from the start.

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Collibra Governance's most valuable features are data lineage and stewardships.

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The most valuable features of Collibra Lineage are the multiple options for automation. Additionally, if you have a scenario where automation does not work, you have the option to manually create the lineage. The solution does not force you to always go through an automated way where you have broken lineage and you are stuck without a lineage.

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The most important feature in Collibra Governance is the ability to gather data or a collection of data into one repository. If a client creates a repository at his place, then it will get updated to the cloud automatically.

It's easy to operate and understand.

Also, you can have different views for business people and for technical people, and there are some helpful customizations in it as well.

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This solution is user friendly and offers multiple functionalities. It operates like a kind of a repository that allows you to find anything about a particular data set or field.

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It is a big library. It has a long list of data assets and their descriptions and lineage. It's fairly two-dimensional. For my use, it just has lists of things. There might be others in my organization who are tying the data elements, metrics, and other things together, but I don't rely on that, and I don't leverage that. For me, it is a fairly flat library for information.

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I like Collibra's flexibility. I like to be able to modify things for our own use. For example, we've chosen to use Collibra also as a knowledge management tool, even though it is not designed to be a knowledge management tool. That's the beauty of it. It can serve as a knowledge management tool by creating some custom assets specifically for knowledge management. I have a knowledge base domain and a knowledge base article asset type- along with a few other things. I really like the flexibility to be able to extend it in those non-traditional ways.

On the flexibility side, I've created some really nice and very useful custom workflows that have really helped with work processes and productivity. They've really helped us do things easier, faster, and better.

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We learned some lessons on a past implementation, and with the new implementation, we're going beyond the data catalog and looking at the OwlIQ, data quality, as well as data lineage. We're really selecting some of the best modules within Collibra's toolset.

Right now, we're just implementing it. We're still in the purchasing process, however, having experience with it, I would say a great feature is its usability on the engagement with enterprise functionality. The crowdsourcing and just making it very accessible is foundational. At the end of the day, it always comes down to terms. For example, we might be saying the same exact term, however, have completely different meanings. It brings to light just the nuances, especially within a larger enterprise organization, a global organization. In organizations of this size, we've realized just how different our terminology views are. It sheds a good light on this and helps clarify. 

The data lineage piece is very useful for us. The ability to understand data flows, where systems and changes originate, is great. A lot of time you might have something on paper that isn't necessarily working in real life. This product brings about the right visibility to have the right conversations between business and IT.

There is a good community setup around the solution that can provide insights. 

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The diagrams are good for data visualization. It is for technical and business terms. The technical lineage is for technical terms and data. Earlier, we used to maintain the data manually. Now, everything is automated. Sometimes, we still need to verify whether the lineage created automatically is correct or not because it might have a lot of information that is not needed. It is very easy to integrate Collibra Lineage with other tools. It provides APIs. It can be for any language like Java and Python. We can use the template provided in the marketplace.

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Collibra Governance is a stable solution.

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I appreciate the range of features it has. Based on the reviews of some of the other tools we use, we find that the other tools lack in certain areas. If I had to choose a comprehensive tool across all the fields of data governance, I would opt for Collibra Governance.

The most valuable feature is the Technical Lineage. The fact that you can trace the auditability of a particular field or attribute across various systems is very useful.

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Collibra Catalog's best feature is the data quality checker. It has a functionality that displays a tick when the data set is complete and the data is working and matching properly. This is a good way to validate if the data quality is sufficient.

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Workflow is very helpful and assessment are good features. I really like the structure of this solution and how it is compartmentalized.

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Collibra's lineage is a very powerful feature. We have integrated Collibra with Azure and ADLS storage and we create lineage diagrams using the two tools.

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The most valuable features of Collibra Governance are that it is user-friendly and easy to use.

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In general, this is a valuable solution for us. Collibra provides a good view of where my data is, the type of data we have across the landscape, how it's getting utilized, the quality in terms of correct calibration, and whether the integrity is uniform across the landscape. Everything is in sync and Collibra is a central repository that provides a good snapshot of understanding along with holding the integrity, confidentiality, and security of our data. 

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It shows how the data was transformed on the way and how the solutions were derived. This is the essence of the tool and why it is so powerful.

Any stakeholder in the company can see a very detailed visualization of the path of the data from the row to the report or the dataset to which machine learning was applied, for example.

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It's incredibly easy to use. As far as the user-friendly aspect is concerned, it's good. The search function within Collibra for desktop is pretty cool with many hotkeys, and especially for having to build a business glossary, if somebody's confused about a term, they can use the hotkey to pull it up on Collibra for desktop, wherever they are.

With the application installed, you don't necessarily have to go to Collibra to utilize it. 

I do like the workflow customization feature as we're able to customize workflows that give ownership to the stewardship organization rather than have to rely on out-of-the-box workflows. You make it an IT function. The IT department can set it up and then put it in the hand of the stewardship organization through customization and a feedback loop, with the stewards able to make it do what they need.

The tried and true features and functions are solid. These features develop in a very good direction as new releases come through.

The stability is good.

The scalability is there if a company would like to expand. 

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Metadata management is one of the key aspects of the product we really appreciate. 

The lineage is one of the important features as well. We felt the asset model is very good. 

We have tried implementing some of the out-of-the-box workflows of Collibra however, we have also used some customized workflows. Customized workflows in terms of data stewardship, assigning basic roles and responsibilities, for issue management, et cetera. They are very useful in setting up the proper governance. Previously, our metadata and repositories were scattered. Since using Collibra, they're all coming into a centralized location. 

Overall, it is a good tool, due to the fact that, with other tools, in some or other way they are lacking certain capabilities.

There are extract, transform, and load tools wherein you can track the data lineage. You can track technical lineage, though not exactly proper lineage. That said, Collibra is a good tool to track, everything starting from process to the attribute table column level. 

It is user-friendly. I could easily go into the Collibra UI and explore the key features.

The solution has very good online assistance. Collibra University is definitely a great help. There are all of these free resources wherein wherever you are stuck, you can go and check and come back and fix items.

What we have done is, we have internally set up a self-service process. We could set up a self-service process within Collibra wherein business stakeholders can come and they can onboard themselves on Collibra. My team specifically is just educating them and helping them following the best practices of Collibra asset model and community. We are setting up their roles and responsibilities, community managers, the manager stewardship, et cetera. We can set everything up so that users can come and onboard themselves.

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Out of box ingestions of technical metadata as well as ease of use for setting up new business metadata for users to represent their business terms

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I like the lineage feature the most because I don't think there's any other tool that actually depicts the data flow from multiple sources and the connectivities between every data element inside those sources.

I don't think there's any other solution where you can view multiple systems and multiple sources and data places and you can just write it down. It's a lot of work to initially organize but there's no other tools to do lineage like Collibra does it.

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The data security lineage is the solution's most valuable aspect for our organization.

The product offers very good artificial intelligence capabilities.

The automation process is very strong.

The whole company can utilize the product. Once we ingest the metadata from the technical side and we enable the security, if any user wants to know anything from business asset information to which component it is been assigned where, et cetera, they can do so. They don't need to be technical or get a technician to pull the data for them. 

There is a lineage, which helps us to track down and drill down on details. It helps with data analytics and data science. 

Earlier we used to have a third party tool like MuleSoft for connectors. On the architecture side, they are introducing new features that allow us to phase out the third-party connector.

Collibra itself is building and providing some out of the box workflows. These features allow you to automate the process and strictly align the compliance of the company.

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The solution is very user-friendly, especially in comparison to other tools. 

Even a business user, which no technical competencies can manage this product rather easily. 

There are great workflows and other features that really simplify various aspects of the product.

The log information is easy to navigate.

The customization and the dashboards are pretty good.

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The catalog feature is definitely valuable because it makes ingesting the metadata of any application quite simple. You don't have to do things manually. You can just schedule an import, and it will just refresh the metadata of whatever application you want. That's what I like. I usually work on the technical side, and other than that, I usually create integrations. I integrate Collibra with different environments or applications.

I'm a developer, so I cannot vouch for the business, but for me, it is quite developer-friendly with the Java API interface and the REST API interface that they have provided.

It is good for creating dashboards based on the needs of each and every role. It can be user-specific or group-specific. We usually create dashboards and give them to our business users, and they are quite happy with that.

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The most valuable feature of this solution is mainly on the report side. They have a couple of reports in finance and we can connect with Tableau or Power BI, or even SSDT. We have connected with Power BI and Tableau right now. Once we connect with the source, we can pull all the data, and we can create a hierarchy based on that, and then we can link each attribute in the report with the table name and the column name. After that, we can link it with the business terms as well. It's like an end-to-end flow. We can create even traceability diagrams, views inside the system.

The reporting is very good. The solution offers a good business glossary. The diagrams are also pretty easy to understand for everyone. We had to link with the IT department, which had some difficult workflows, and they want to automate everything. The solution can do that for them. It's still a work in progress, however.

The solution is quite customizable. If I took a business term account, I could link it with the table account, and then I could link it with the account ID, and then there'd be some account receivables report. Each attribute in this report account ID, I can link to and create a linked diagram. This can be shown to the business users. The business users need to see the glossary and the attributes and if we can link anything we can create relationships with the data. There are some out-of-the-box attributes, which are present in Collibra, however, in addition to that, we can also create our own any.

If you compare the solution to something like Axon, it's pretty user-friendly. Anyone can come and understand the tool very easily. Axon isn't as user-friendly compared to Collibra. 

It's not a complicated product. Collibra also has Collibra DG and Collibra Console, but in Informatica Axon, everything is all together. Everything, including the backup schedule and all these things, has another web application in order to maintain all that information. 

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The interface itself is very useful. I think what I find most useful about the tool, if I'm looking at it from the perspective of a data user, would be the search capability. The fact that I can search for any data elements that are in the table and there will be a pretty comprehensive list that are either identical or very similar to one another in the tables where they are found. I think in terms of sourcing, it's really valuable. I also think that the ability to connect your business metadata with your technical metadata, is something that's very valuable from the perspective of the business. People on the business side need to understand where data is coming from, how it's connected. Doing that through one centralized repository, or document, is useful.

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The most valuable aspect of the solution is its collaboration platform, which includes the workflows, the data lineage, and some of the communities. The ability to collaborate and approve business terms for the business glossary data dictionary is excellent.

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We can easily connect to sources. It is like plug-and-play.

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It is user-friendly, and other companies use Collibra Governance as well.

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I would say customization is the most valuable. The workflow is very good and has been embedded. It also has a great user interface.

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We have found that Collibra Catalog is very easy to use. We suggest a small proof of concept because businesses look at things differently in different parts of the company. 

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The most valuable feature is the discovery process for the data catalog because we get it in a visual format as a way to understand and classify it. It's good to generate insights and get the context of the data.

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You can tailor the solution to your needs. You can really create different office drives and different attributes or relations that you can customize for your needs, which is a great thing. 

The diagrams are really great due to the fact that there are validations. The search capabilities and the different filters are all great aspects.

It's a user-friendly tool, even for non-technical people. That was one of the reasons why we chose it. It has very good social adoption. There isn't much training needed.

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The most valuable features of Collibra are the workflows and the data lineage capabilities. They help improve the client's existing processes. You can map those into workflows and those processes can directly be done on Collibra. Basically, what happens is, you directly script the metadata for the process that is happening.

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The end-to-end solution itself is great. The most valuable is the workload feature that Collibra offers. There is a vast amount of flexibility in terms of how much we can customize. It gives us a lot of options to implement for a lot of purposes.

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Due to technological advancement and data becoming more critical for all reporting and analytics purposes, we are no longer restricted to primitive tools like Excel, etc. Earlier, we were leveraging these tools because we used to source data directly from data sources, but now, things have moved to the Azure platform and we have much more freedom in the cloud.

It's now really important for technical people to have some kind of lineage for these data sources because currently, we are not just leveraging data from the source and reporting it somewhere. We have thousands of reports with some transformation that occurs in between. Data is moving from one layer to another — all types, including raw, curated, and rich.

When our technical team works on it and our business demands new modifications, it becomes difficult for them to track that lineage and what impact it's going to have on the upstream and downstream system. This is one functionality of Collibra that we have leveraged extensively. 

We are in the process of migrating all our data sources towards the data lake — some has already been done and more is on the way. We want to connect all of our reports, which are either based on ClickView, Tableau, or PBA, directly to Collibra, as our data platform. If a business user wants to track down a KPI in a report to the rawest data from which we are sourcing it, there are a number of layers and transformations happening in between.

It is important for business users to track what is happening in the background. Are we leveraging the right thing? Are we applying the right kind of transformation or the right business-logic to arrive at a certain KPI? At the same time, the IT team needs to be able to know what kind of lineages there are. For example, If I make a change to one of these things, what impact will it have on the backend? This is one of the powerful functions of Collibra which we as an organization think is really useful — as an organization, we have been reaping the benefits thanks to this solution.

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I find the metadata feature valuable because it replaces the coding. The metadata creation happens via Collibra, and it reduces the code. 

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The diagram showing the limits is absolutely magnificent. It shows an end-to-end business term or any asset going from end-to-end. From a visual perspective on the diagram, it's simply beautiful.

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Their user interface is much more business friendly than anybody else's. Also, their workflows, the rules and policies on workflows, are really strong. They're very good at that. I would also say that the roles and responsibilities, their way to manage people within that process is efficient. Their GDPR module is also pretty good. 

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