Amperity vs. Informatica Cloud Data Quality

I think Custora is a great fit for B2C companies that are trying to take their relationship marketing programs to the next level and outside of basic segmentation. It's a great platform to consolidate all customer, order history, and campaign history type data into one platform to obtain a 360 degree view of the customer. Additionally I would say, if an organization is resource constrained from an analytics perspective, the platform also makes great sense to invest in. It provides out of the box predictive analytics, and custom lifecycle triggers to align a retention marketing program around. Outside of the upfront work to get the platform up and running, it's very marketer friendly to utilize

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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.

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• Real-time insights are spot on with minimal millisecond differences
• Customer profile creation is on point with very good data unification capabilities
• Data ingestion from multiple sources and cleaning of PII data
• The insights engine is highly refined even having behavioural insights capability

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• 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.

• Currently there are limitations with the number of personas that can be built in the instance, it would be great to have more flexibility here
• We occasionally see issues with lists delivered to our ESP from the platform. Not a major problem, but could be an area of improvement

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• Several partnerships diminishing the value of technologies
• Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
• Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.

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.

Easy to use not only for developers but also business users

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The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server

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Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.

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Amperitiy's data model is much more refined compared to the competition which makes it ideal for firms looking for a no-nonsense CDP. However, it lacks campaigns and delivery features when compared to some other CDP providers like mParticle and Clevertap. The pricing is good and the usage-based pricing ensures that even small to mid-sized teams can afford it. Support can be improved though.

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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.

Scalability works as expected and it is truly an enterprise system.

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• Overall we have been able to increase the mix of triggered related revenue in email from 20% to 50% of total revenue after implementing Custora's lifecycle triggers
• We've also seen one off email tests with incremental conversion rates up to 75% when utilizing Custora personas to personal communications

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• Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
• Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
• Employee efficiency is increased exponentially due to more automated, customized tool