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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Lotame
Score8.8 out of 10
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Lotame is the flagship data management platform (DMP) from Lotame Solutions in Columbia, Maryland, billed as a cross-screen DMP that leverages "second-party" data (i.e. first-party data acquired via strategic partners).
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Pricing
Informatica Cloud Data Quality
Lotame
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data Quality
Lotame
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
Features
Informatica Cloud Data Quality
Lotame
Data Quality
Comparison of Data Quality features of Informatica Cloud Data Quality and Lotame
Feature
Informatica Cloud Data Quality
8.2
4 Ratings
4% below category average
Lotame
-
Ratings
Data source connectivity
8.94 Ratings
00 Ratings
Data profiling
8.74 Ratings
00 Ratings
Master data management (MDM) integration
8.24 Ratings
00 Ratings
Data element standardization
7.14 Ratings
00 Ratings
Match and merge
7.94 Ratings
00 Ratings
Address verification
8.44 Ratings
00 Ratings
Data Collection
Comparison of Data Collection features of Informatica Cloud Data Quality and Lotame
Feature
Informatica Cloud Data Quality
-
Ratings
Lotame
6.3
8 Ratings
26% below category average
Collection of first-party data
00 Ratings
6.08 Ratings
Collection of third-party data
00 Ratings
9.07 Ratings
Access to Third-party Data Providers
00 Ratings
4.08 Ratings
Data Classification
Comparison of Data Classification features of Informatica Cloud Data Quality and Lotame
Feature
Informatica Cloud Data Quality
-
Ratings
Lotame
7.7
8 Ratings
7% below category average
Audience taxonomy
00 Ratings
7.08 Ratings
Tag Management
00 Ratings
8.07 Ratings
Data Analysis Dashboard
00 Ratings
8.08 Ratings
Ad Network Integration
Comparison of Ad Network Integration features of Informatica Cloud Data Quality and Lotame
Feature
Informatica Cloud Data Quality
-
Ratings
Lotame
6.0
7 Ratings
28% below category average
Data Transfer
00 Ratings
5.06 Ratings
DSP integration
00 Ratings
7.07 Ratings
DMP Analytics
Comparison of DMP Analytics features of Informatica Cloud Data Quality and Lotame
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Well suited for advertising business. Has a lot of links to all relevant technologies. It is also a great platform if you want to buy or sell data and look for quality here. But you need a team which knows how to handle data. Less appropriate when you expect a fully managed service.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
So far we haven't encountered too many "needs improvement" pain points with Lotame - if we've had a problem so far it's been more a matter of needing to learn that particular action than any fault of Lotame.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
There are alternatives in the market - Visual DNA, Bluekai/Oracle/ Adobe Audience Manager, Krux. They all offer a similar offering, however, I prefer the easy UI which is very intuitive even for beginners to the DMP world.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info