It is our data governance solution. It has been very helpful for the data discovery and data governance part.
We are using Microsoft Azure and AWS cloud, as well as some on-premises applications. Using Microsoft Purview is a great experience for us because it provides end-to-end data discovery and data analytics, which enables us to understand the data.
It supports multiple clouds, such as Microsoft Azure and AWS, and multiple operating systems, such as Windows, macOS, and Linux. We have a small group of users with macOS. We have a vast user base with Windows and Linux OS.
It has the capability to connect to various data sources, which we found very useful. In addition to supporting Microsoft data sources, such as Microsoft Power BI for the data analytics part, it also supports the data analytics software by AWS and other AWS tools. It is highly compatible with other cloud computing solutions.
It integrates well with Azure, Dynamics 365, and Office 365. We use Dynamics 365 and Office 365, and we found Microsoft Purview to be very compatible with Dynamics 365 and Office 365. It can also integrate with other Microsoft and non-Microsoft solutions.
It was built taking into account critical regulations from around the world. For the data governance and data privacy part, it is fully compliant with the data policies of various countries. In the case of Indian geography and the Asia Pacific region, for which we are currently using Microsoft Purview, it is compatible with our local data privacy and regulation policies. We can configure group policies in Microsoft Purview to comply with the requirements for the data and its use.
With data discovery, we can easily discover similar patterns or trends in the data currently being used in the organization. It is very helpful because the core purpose of Microsoft Purview is data discovery and data governance. It might be in the catalog, or it might be in the governance part. It is useful for us for such information.
It is very helpful for educating users on how best to handle sensitive data. We can also apply row-level and column-level security in Microsoft Purview so that any type of sensitive information, such as credit card information or health card information, is only visible to specific groups of users, not to all public users. It provides that flexibility, which is valuable. We can easily apply group policies and provide access to a specific group of users. We have millions of rows and hundreds of columns, and we can't give access to all users.
It reduces the number of solutions required for data governance. It also reduces manual effort.
It has saved our time and cost by 35% to 40%. Previously, the data discovery and data governance part required more manual or human effort. We needed dedicated resources for the data discovery and data governance part. There were five to six resources that we had to hire only for this task. So, there have been overall cost savings for the organization. We now don't have to spend on the salary of those resources and third-party vendors. It eliminates all those costs.
It gives clear visibility across all our data for data governance and data storage. It helps to know why certain data scans failed.
It shows the compliance information in real-time. It has a unified dashboard where you can track all your KPIs and policies in an easy way. It has a unified dashboard where you can see all the group policies that you have applied. You can make configuration changes at any time. So, everything is on a real-time basis. The policies that you are applying are also applicable on a real-time basis.
It helps to stay on top of compliance. We can easily apply policies to meet our compliance requirements. In every country, there are specific rules, policies, and regulations. As per the Indian government regulations, there are some specific requirements for the data part. There are some restrictions related to data storage, servers, and the location of the data.
Microsoft Purview is a good solution for data governance. It has notable features for maximizing the value of your data. The data discovery and the data analytics parts are great both on-premises and on-cloud.
It is great that Microsoft Purview can integrate with Microsoft Azure, Microsoft Power BI, etc. Its capability for data source scanning and classification across multiple clouds is fantastic. It also helps with security and compliance policies and group policies across the organization.
The overall cost of deploying this solution could be better. It seems that middle and small-sized organizations are not completely happy with deploying this solution in terms of the cost. It would be good if they concentrate on the cost part.
Another improvement area is their customer support and service. The resolution time for an issue could be better.
It has been more than two years.
It is now stable. It is now fully matured in the market. There are no issues with the stability part.
Their support could be better. They aren't able to resolve some issues quickly. They sometimes require up to 72 hours to resolve an issue. I would rate their support an 8 out of 10.
Previously, we didn't have a specific tool for data discovery and data governance. All the things were done manually at our end.
It is straightforward because it is a cloud service. You just need to enable that service and pay as you go.
It doesn't require any manual maintenance from our end because it is fully managed by Microsoft. All the upgrades, updates, and patches are fully managed by Microsoft.
It was implemented in-house, but we got help from a Microsoft solutions architect. There were six to seven people involved in its implementation.
Its pricing is good in terms of the features that they are providing, but there are many competitors in the market who can easily provide you with similar services at a lesser cost.
We evaluated Collibra for data governance, but because we were using Microsoft Azure, we found Microsoft Purview to be more compatible. So, the integration and the compatibility parts were the main reasons. We were already using Microsoft Azure as the cloud computing tool. We wanted the new solution to be compatible with Microsoft Azure, as well as services running within Microsoft Azure. We were also using Microsoft Power BI and other Microsoft solutions, and we could easily integrate Microsoft Purview with our existing solutions.
Overall, it is a good solution, and that's why we are currently using it. It has features with AI/ML-based algorithms, but we generally do not use them because we are focusing more on the data governance and data discovery part.
If you're using Microsoft solutions, it is highly recommended because compatibility would not be an issue. We went for it because compatibility with our existing solutions was our priority.
I would rate it a 9 out of 10 because no solution is perfect.