Reltio Cloud Reviews

Mainly, Reltio Cloud is used to collaborate all the data from multiple sources and generate a single source of truth while keeping the lineage and historical changes within the system. 

It also provides reporting about data performance and completeness.

From my experience with multiple tools, Reltio Cloud is more user-friendly and provides a good user experience when updating information or tracking lineage. It is the more efficient part.

It also has AddressDoctor, which pinpoints locations with maps. This feature is not available in Informatica, Stibo, or Profisee. That's something I found really good.

Reltio Cloud is used to handle big data, such as customer data. It is very useful for managing data and is mainly known for the unification of data, where the main purpose is matching and merging data from different sources. When both data sets seem identical, we design rules to determine if two accounts or customers are identical. Those accounts will be automatically merged if the rule is satisfied. If the match is only partial, some criteria are met, and the case is flagged as a suspect, it is sent for manual review. This way, we unify the overall data for accounts, customers, or other entities.

For example, a customer with the same name and phone number can be automatically merged into a single entity, along with every other attribute related to that customer. Different approval options exist for merging, such as deciding which customer number or name should be visible to the client. The key feature of Reltio is matching and merging, allowing us to unify data. After that, we can edit, add new attributes, or create new ones by updating the configuration.

We need to write code to create a match rule and everything, but we can still create one without writing code. Even someone working with Reltio for the first time can easily create a complex match rule using their UI.

I've been working on a project that used Reltio Cloud for master data management. My role involved testing the tool to ensure that the process was functioning correctly.

I was working with Reltio Cloud on a project for a car retail company. This company needed to create a master data repository, a "golden copy," that would consolidate all customer and vehicle information from their various sources.

The company had a front-end application in its stores where customers could provide their details and a web page where customers could schedule test drives. All these customer details were captured through different applications and fed into Reltio via real-time and batch processes.

My role involved verifying that the ETL processes were working correctly and that the data was being loaded into Reltio properly. I ensured that the MDM was accurate by checking the match and merge rules and that the golden copy of the customer data was correctly created based on these rules.

To perform these validations, I used the Reltio UI to log in, sample the golden copies of customer profiles, and confirm that the profiles included all relevant source details and attribute values. I also checked that the attribute values adhered to the survivorship rules established in Reltio.

Reltio is a master data management tool. While other competitors are in the market, Reltio stands out as one of the early cloud-native MDM solutions. Before Reltio, many MDM products were on-premises solutions, such as those from IBM and Informatica. Reltio is purely cloud-based.

With Reltio, there’s no need to maintain infrastructure or set up a separate database for customer data, as everything is managed in the cloud. This setup simplifies things for data stewards and the data governance team, allowing them to visually monitor and assess data quality through various charts and dashboards.

Reltio also offers features like match, merge, and survivorship tools, which are standard in MDM solutions. Its cloud-based approach has proven user-friendly and scalable compared to other MDM tools.

Reltio has two main aspects: one is handled by developers and architects, and Reltio manages the other. Developers and architects are responsible for configuration, developing requirements, and working on the implementation.

There are default limitations and considerations. For instance, Reltio can store a maximum of 200 values for a single attribute. If your data exceeds this limit, you can request Reltio support to increase the limit. However, be aware that increasing this limit may impact performance, potentially slowing down data loading times.

In cases where attribute values or record counts exceed the standard limits (e.g., more than 20 million records), Reltio support can add additional resources to your tenant. This usually involves extra costs, but it ensures the system remains efficient and scalable. As a developer or architect, you don’t need to manage this process; Reltio support handles scalability and resource allocation.

Our company uses the solution for marketing, accounts, contacts, and leads. We maintain a golden record and cleanse the data in the solution. We use enrichment sources to get more data, create a golden record based on the survivorship, and push it to our downstream application for business users. 

We also use features like the built-in workflow, DCR, the account ACS, the account creation request, and the data change request. For accounts, we create a request in Salesforce and that gets approved through the solution's workflow. We basically govern the entire account creation process. 

We have 20 team members who use the solution. 

The solution has really helped us with deduplication. We get multiple contacts and leads created by different users. They come down from Salesforce to the solution and we have auto-merge rules that basically deduplicate. The solution merges similar leads and contacts based on the auto-merge rules. 

We have also benefited a lot with enrichment. We have a source to get contact information like email IDs and phone numbers that are given priority. If they survive, we are able to make effective communication with our clients. 

Within a month of implementing the solution, we saw good achievements. We realized a lot of contacts that got deduplicated. 

We use Reltio Cloud to provide master data management solutions. Master data management involves creating a unique record set from a large amount of data by eradicating duplicates and providing meaningful information.

The most valuable feature of Reltio Cloud is the customization we can make in its functionality. The solution's match and merge engine is quite good, and we can customize it.

I like the data quality feature. The solution saves 30% to 40% of our time. It is a low-code application.

The deployment is difficult. It takes time.

It is a master data management platform. There, we can store the data and enrich it from multiple sources. For example, we have one set of data. For that particular set, if we need to add details from multiple sources like ABC, we can do that through Reltio.org.

The best thing is the unified data management capability. We can consolidate data from multiple sources and create a single viewer source for client requirements.