Profisee Reviews & Product Details

What I like most is the flexibility of the data modeling, especially when working with complex hierarchies and relationships. The match & merge capabilities have become very solid in recent releases, and the built-in data quality features keep getting better. I also appreciate how easily we can integrate Profisee into our existing architecture through APIs and DB access. On top of that, the AI capabilities introduced with Aisey are simply fantastic. They add a whole new level of flexibility and make tasks that traditionally required significant manual effort much easier and faster. Overall, it’s a platform that gives you a lot of control over how you implement MDM, while continuously introducing innovations. Review collected by and hosted on G2.com.

There are a few areas I’d like to see improved. Upgrading between major versions can be challenging at times and often requires careful planning. Advanced workflows and approval processes could also be easier to configure and troubleshoot. In addition, error messages and the technical documentation could be more detailed, especially when working with APIs or more complex configurations. None of this prevents us from moving forward, but there are definitely clear opportunities for improvement. Review collected by and hosted on G2.com.

What I like most about Profisee is the flexibility it offers for managing multiple master data domains and enforcing governance through business rules, workflows, and data quality controls. It allows us to centralize master data management while still accommodating different business processes and integration requirements. The platform also creates opportunities to strengthen how we handle data quality, approvals, and the downstream distribution of master data. Review collected by and hosted on G2.com.

Some parts of the platform have a steeper learning curve than I expected, especially when it comes to configuration, troubleshooting, and understanding how different rules, workflows, and integrations interact with one another. A number of administrative and technical tasks require deeper platform knowledge than business users or new administrators may anticipate at first. If usability were improved, troubleshooting were more transparent, and configuration were made more intuitive, the overall experience would be noticeably stronger. Review collected by and hosted on G2.com.

What I like most about Profisee is how it simplifies master data management without making the process overly complicated. The platform provides a structured way to manage master data, maintain consistency across systems, and improve data quality through standardization, matching, and deduplication. I also like its flexibility in configuring workflows and business rules based on specific requirements. For organizations dealing with multiple ERP systems and fragmented data sources, it can help establish a more reliable and consistent view of critical business data. Review collected by and hosted on G2.com.

One thing I find challenging about Profisee is troubleshooting complex matching rules and survivorship configurations when the results are not as expected. It can take some trial and error to understand why certain records are matched or why one source value takes precedence over another. I also think monitoring data quality issues and debugging integrations could be more straightforward, especially when working with large datasets from multiple source systems. Better error messages, more detailed troubleshooting examples, and clearer guidance on advanced configurations would make the platform easier to work with. Review collected by and hosted on G2.com.

Profisee offers solid support and integrations. The UI/UX is well designed, and its master data management capabilities are strong and reliable. Review collected by and hosted on G2.com.

It struggles with performance, especially when handling large volumes of data. It also doesn’t have strong real-time connectors with SAP. Its AI agents still feel like they’re in the early stages, with AiSey only just introduced. It needs reusable templates for data enrichment, data mastering and survivorship, and data stewardship, along with better integration with data cataloguing/DG tools such as Azure Purview or Collibra. Review collected by and hosted on G2.com.

The strongest aspects of Profisee are its flexibility, governance capabilities, and visualization. We have been able to implement multi-step workflows with automated email notifications. The platform also makes it straightforward to configure and maintain both very simple and more complex data quality rules. In addition, Profisee provides strong visualization capabilities for understanding and managing complex relationships across our customer data landscape, which has been one of the biggest values for our master data team. Review collected by and hosted on G2.com.

One limitation we encountered is that very large match clusters can become difficult to visualize, as there are limits to how many related records can be rendered at once. While this affects only a subset of our data, it can make investigation of large duplicate groups more challenging.

We also learned that data modeling decisions can have a significant impact on record volumes and, therefore, licensing costs. In our case, our implementation generated substantially more records that initially anticipated. This was more a result of our design choices and limited experience with MDM modeling than a shortcoming of the software itself. But it is something prospective customers should evaluate carefully during planning. Review collected by and hosted on G2.com.

What I like most about Profisee is its structured implementation approach, strong data quality capabilities, and effective golden record creation. The platform makes it easy to bring together data from multiple sources into a single, trusted view, while also giving us the tools to define and maintain high data standards. These features have been especially valuable in supporting consistent, reliable data across our organization. Review collected by and hosted on G2.com.

Some areas of difficulty we experienced with Profisee are the time-intensive initial setup, the performance limitations when processing large data sets, and the overall complexity of tuning the system. Getting everything configured correctly requires significant effort and coordination. Additionally, processing very large volumes of data can take longer than expected, which can impact timelines for data loads and updates. Review collected by and hosted on G2.com.

Profisee has been a good partner in our MDM process. Their system allows for customization especially for the data steward role, giving them an easily configurable view to help them focus on the business case. Review collected by and hosted on G2.com.

Speed - matching can sometimes be slow or stall/lock without much admin visibility Deterministic Rules - not a great or easy way to plug AI directly into matching Review collected by and hosted on G2.com.

The best part about Profisee is the community of support. There are extensive knowledge sharing resources, including a well organized "Profisee Academy" that features learning paths for each user type. Review collected by and hosted on G2.com.

The greatest challenge we've had from a technical UX perspective has been related to workflows, specifically when promoting development between environments. Review collected by and hosted on G2.com.

The matching algorithms and the portal UI are the strongest parts of Profisee. We can ingest data from multiple sources, standardize it, and identify relationships all within a single tool. On top of that, we’re able to build a UI that gives business owners more support and control as they consume the results and manage any domain data they’re responsible for. Review collected by and hosted on G2.com.

Larger data sets in the portal UI can become difficult to manage for business-focused users who mainly need to edit, add, and maintain the data. Also, building task workflows and notifications requires an understanding of Visual Studio coding, which can be a barrier for non-technical users. Review collected by and hosted on G2.com.

I really appreciate the powerful hierarchy management capabilities of Profisee, as they greatly streamline our data processes. The ease of data modeling is another standout feature, allowing us to effectively organize, capture, and share data. The platform excels in maintaining data quality right from the start, ensuring that the entire process is smooth and accurate. I find the user experience to be exceptionally well-designed; the way data is presented creates a comfortable and effective analytical environment for our users. Furthermore, I am impressed by the continuous innovation that Profisee undertakes to enhance and optimize the customer experience, which is evident in their reliable support and the overall excellence of the tool. Review collected by and hosted on G2.com.

The connectors for SAP are not developed, which seems more like an SAP-related issue, but it affects our experience with Profisee however there are solutions in Profisee to work around this challenge. The initial setup had challenges. Although the professional services team was knowledgeable about Profisee, they were spread across multiple implementations and couldn't fully dedicate themselves to our specific use case. This distribution led to some bumps that might have been avoided if we had a third-party team focused solely on our project. Review collected by and hosted on G2.com.