The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.
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Reltio Connected Data Platform
Score 8.3 out of 10
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Reltio Connected Data Platform is used to cleanse and unify complex, multisource data into a single source of real-time information, a cloud-native, SaaS master data management solution.
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Informatica Cloud Data Quality
Reltio Connected Data Platform
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Informatica Cloud Data Quality
Reltio Connected Data Platform
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Informatica Cloud Data Quality
Reltio Connected Data Platform
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Informatica Cloud Data Quality
Reltio Connected Data Platform
Data Quality
Comparison of Data Quality features of Product A and Product B
For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.
The data model is really flexible, so it should function well across many industries. Reltio Connected Data Platform tends to add new features first to its industrial vertical customers, though, so it may be especially well suited if your use case is specifically supported.
The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
Reltio API allows us to build interfaces with ease.
The beauty of Reltio is Consolidation at any time we can review data at field level from different sources (crosswalk) and configure match merge and survivorship rules to define operational value and approved data can be redistributed to the upstream or downstream systems.
With Central data governance, enrichment with D&B allows creating trusted data and distribute to various systems.
UI does not support creating different profile views for an entity based upon customer types as example however we can achieve this by using sub entities ( sub classes). This feature is useful if we are creating profiles in reltio manually.
Manual export every time we need to pick entities, fields etc does not allow to save templates. workaround is using postman creating predefined API with selected fields, filters and trigger export.
UI does not support data masking which needed while we maintain PII information
Potential Matches doesnt auto sort on confidence code so users need to manually select deselect relevant entities which is time consuming and painful process however this issue is when we have more than 4 entities as potential matches.
It would be beneficial if UI displays data related errors (if any) between Reltio and SFDC.
As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
IDQ is used by a department at my organisation to ensure and enhance the data quality. The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions. In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
We felt Reltio had the best user experience, with flexible graph database technology and a customizable UI. Also important was the ability to look at historical snapshots to see relationships as they existed as of a previous date.
