Share your experience using Oracle Product Hub

It can be used for different kinds of use cases. You can use it for data deduplication purposes for any industry. For example, in the pharma, healthcare, or life science sector, often a lot of medical data gets duplicated across different business functions of the enterprise. As a result, the sales and marketing channels may face a lot of challenges in marketing their medicines to the right physicians. In such a scenario, Informatica MDM could be really helpful in standardizing the data and creating a golden copy of it, which can then be published to the sales and marketing channel so that the sales representatives have accurate data to market their medicine or product. This is one of the use cases.

Its deployment depends on the project and client requirements. I don't have Informatica MDM deployed for my organization. We build solutions for our clients by using Informatica MDM. So, it entirely depends on what a client wants. For some of the projects, it is deployed on-prem, and for some of the projects, it is deployed on the cloud. In the most recent scenarios, it is mainly on the cloud. Informatica, just like other MDM solutions, is also moving toward the SaaS platform. So, I'm sure that going forward, for any kind of project opportunity, we'll be using the SaaS model when it comes to the deployment of Informatica MDM.

The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature.

It is a very mature tool. It has been in the market for more than a decade.

If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it.

Their support can also be improved. They sometimes take long when an incident is not a priority incident.

I have been using Informatica MDM for the past five or six years.

It has been in the market for more than a decade. Over the last decade, Informatica has proved to be the best MDM solution that is available in the market. Informatica is one of the leaders as per Gartner and Forrester. There are no second thoughts about the stability of the tool. It's definitely the best one in the market right now.

I would rate them a four out of five. There is definitely room for improvement when it comes to technical support. Sometimes, when an incident is not a priority incident, they take their own sweet time to meet the SLA. For a priority one incident, they jump in and resolve the issue really fast. 

For someone trying it for the first time, it would definitely be a little bit complex, but once you get used to it, over a period of time, the complexity reduces. With experience, it becomes easier.

The deployment duration depends on the complexity of the configuration and the complexity of the import configuration on Informatica MDM. There is a feature called import where you get the chance to import it from the lower environment to a higher environment. The import process is pretty straightforward, but sometimes, when very complex configurations are done in the lower environment, it can get a little bit complicated to import the delta changes. It can take a while. 

Its maintenance isn't a big headache. For on-prem deployments, the maintenance is pretty easy and straightforward. It is not a very big overhead. With the SaaS solution, there is no overhead at all.

It was done in-house. There was no third party.

There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive.

One piece of advice that I would like to give to anyone implementing Informatica MDM or any other MDM solution is to be in regular touch with business users during the implementation. Because it's an MDM solution, it's business-driven rather than IT-driven. So, always stay in constant touch with business users or data stewards to best understand the data. Never try to make decisions related to the data on your own. It is always good to be in regular touch with business users and let them make the decisions. Based on their decisions, you do the implementation. Do not make any decisions yourself because the businesses understand their own data best, and they are the best decision-makers when it comes to their own data. 

I would rate Informatica MDM a nine out of ten.

We use Profisee for MDM. It integrates with tools like Purview for data cataloging and matching and then writes records to a master data database. We transfer the data to a data warehouse for analysis and troubleshooting. It helps us manage data from various sources and apply rules for data governance.

The most valuable features for ensuring data accuracy and quality are mappings and creating business rules. Profisee's adaptive approach and data monitoring are also beneficial. Adaptive cards facilitate collaboration among team members for updating master data. While the basics of data management are similar across platforms like Talend, Profisee's Azure-centric approach is now more convenient for us.

Profisee could improve in providing clearer data lineage information. Currently, I find it easier to gather this from Purview rather than Profisee. However, I haven't fully explored all of Profisee's functionalities, so there might be options I'm unaware of.

I have been using Profisee for a year.

We haven't had any stability issues with Profisee so far.

I would rate Profisee's tech support at around an eight out of ten. 

Positive

The main difference between Purview and Profisee is their focus. Purview concentrates more on data cataloging and metadata management, helping users understand their data profiles and lineage. On the other hand, Profisee emphasizes MDM, particularly in managing master data databases and applying business rules to ensure data quality and consistency. While they have some overlapping functionalities, they serve different stages of the data lifecycle.
Some users may still be exploring Profisee's capabilities, and not everyone fully understands all of its functions. 

The Profisee user interface has positively impacted our data management. As a data architect and enterprise developer, I have seen that it is convenient for the data storage team to complete their work. The interface is visually clear and easy to understand, streamlining the entire process.

Profisee's scalability and integration capabilities with other systems are highly effective, particularly within an Azure-centric environment. Its seamless integration with Azure services like Purview enables comprehensive data lifecycle management, including data lineage and management.

Implementing Profisee has potentially made our time to market for new products and services more efficient. Qualifying master data and making it available downstream for data consumption seems smoother now. As a bank, our response to data availability might differ from other industries like advertising. Overall, I see positive impacts from using Profisee.

I would recommend Profisee to others, but it depends on various factors such as how well it fits with their business domain, cost considerations, and resource availability. If they have centralized their data in Azure, Profisee is a no-brainer for data management.

Overall, I would rate Profisee as an eight out of ten.