Amperity, headquartered in Seattle, offers their customer data platform, supporting raw data ingestion from all sources of customer data, identity resolution driven by AI, and delivery of enriched customer data to the marketing tools that need them.
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Informatica Cloud Data Quality
Score 6.7 out of 10
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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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Pricing
Amperity
Informatica Cloud Data Quality
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amperity
Informatica Cloud Data Quality
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amperity
Informatica Cloud Data Quality
Features
Amperity
Informatica Cloud Data Quality
Tag Management
Comparison of Tag Management features of Product A and Product B
Amperity
9.1
1 Ratings
10% above category average
Informatica Cloud Data Quality
-
Ratings
Tag library
10.01 Ratings
00 Ratings
Tag variable mapping
9.01 Ratings
00 Ratings
Ease of writing custom tags
9.01 Ratings
00 Ratings
Rules-driven tag execution
9.01 Ratings
00 Ratings
Tag performance monitoring
9.01 Ratings
00 Ratings
Page load times
10.01 Ratings
00 Ratings
Mobile app tagging
9.01 Ratings
00 Ratings
Library of JavaScript extensions
8.01 Ratings
00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Amperity
9.0
1 Ratings
9% above category average
Informatica Cloud Data Quality
-
Ratings
Standard visitor segmentation
9.01 Ratings
00 Ratings
Behavioral visitor segmentation
10.01 Ratings
00 Ratings
Traffic allocation control
9.01 Ratings
00 Ratings
Website personalization
8.01 Ratings
00 Ratings
Customer Data Management
Comparison of Customer Data Management features of Product A and Product B
Amperity
9.7
1 Ratings
15% above category average
Informatica Cloud Data Quality
-
Ratings
Account Scoring
9.01 Ratings
00 Ratings
Customer Data Governance
10.01 Ratings
00 Ratings
Data Connectors
9.01 Ratings
00 Ratings
Data Enhancement
10.01 Ratings
00 Ratings
Data Ingestion
10.01 Ratings
00 Ratings
Data Storage
10.01 Ratings
00 Ratings
Data Visibility
10.01 Ratings
00 Ratings
Event Data
9.01 Ratings
00 Ratings
Identity Resolution
10.01 Ratings
00 Ratings
Data Quality
Comparison of Data Quality features of Product A and Product B
Amperity
-
Ratings
Informatica Cloud Data Quality
8.2
4 Ratings
3% below category average
Data source connectivity
00 Ratings
8.94 Ratings
Data profiling
00 Ratings
8.74 Ratings
Master data management (MDM) integration
00 Ratings
8.24 Ratings
Data element standardization
00 Ratings
7.14 Ratings
Match and merge
00 Ratings
7.94 Ratings
Address verification
00 Ratings
8.44 Ratings
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Amperity
Informatica Cloud Data Quality
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Score 8.9 out of 10
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Score 8.4 out of 10
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Bloomreach - The Agentic Platform for Personalization
Score 8.9 out of 10
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Bloomreach - The Agentic Platform for Personalization
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
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 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.
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.
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.
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