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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TrustArc
Score 9.0 out of 10
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TrustArc headquartered in San Francisco offers their eponymous data privacy management platform, providing risk assessments, breach management, compliance reporting, among other features.
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Pricing
Informatica Cloud Data Quality
TrustArc
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Informatica Cloud Data Quality
TrustArc
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Community Pulse
Informatica Cloud Data Quality
TrustArc
Features
Informatica Cloud Data Quality
TrustArc
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.
TrustArc is well suited for a small-to-medium sized digital organization that is concerned about its ability to fulfill data privacy requirements. TrustArc offers an API integration to allow users to handle a larger volume of requests, but I don't have personal experience with this feature. It is a requirement that a cross-functional data privacy team be established in your organization to get the most use out of this product.
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.
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.
OneTrust offers a similar product offering to TrustArc. Our organization had a legacy relationship with TrustArc with respect to its online cookie management preference solution. OneTrust product offerings do provide much of the same functionality as TrustArc and is worthy of consideration if you are evaluating vendors in this space.