What users are saying about
9 Ratings
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Score 8 out of 100
33 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

SAS DataFlux

No answer on this topic is available.

Informatica Data Quality

We used Informatica Data Quality to measure the "Data Quality Score" of internal and external reports at my company. Business users set up data profiling and prepared detailed analysis documents for business analysts. and developers developed Data Quality Mapplets for other IT teams to import their Informatica Power Center repositories. Results are stored in a centralized data quality space and then reported and summarized to related business users in detailed ways.At the end of each project, we are now able to place a "Data Quality Score" watermark score on each report involved.
Gurcan Orhan | TrustRadius Reviewer

Feature Rating Comparison

Data Quality

SAS DataFlux
Informatica Data Quality
9.3
Data source connectivity
SAS DataFlux
Informatica Data Quality
10.0
Data profiling
SAS DataFlux
Informatica Data Quality
9.0
Master data management (MDM) integration
SAS DataFlux
Informatica Data Quality
10.0
Data element standardization
SAS DataFlux
Informatica Data Quality
9.0
Match and merge
SAS DataFlux
Informatica Data Quality
10.0
Address verification
SAS DataFlux
Informatica Data Quality
8.0

Pros

SAS DataFlux

  • dfPower Studio connects to virtually any data source, and any dfPower Studio user in any department can use dfPower Studio to profile, cleanse, integrate, enrich, monitor, and otherwise improve data quality throughout the enterprise. dfPower Architect, an innovative job flow builder, enables users to build complex management workflows quickly and logically.
  • DataFlux Integration Server supports the ability to run batch dfPower Studio jobs in a client/server environment.
  • DataFlux Integration Server for SAS additionally enables allows SAS programs to invoke DataFlux batch jobs from a SAS program and allows SAS programs to call a business service that was designed in the dfPower Studio client environment.
Robert Goodman | TrustRadius Reviewer

Informatica Data Quality

  • 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.
Anonymous | TrustRadius Reviewer

Cons

SAS DataFlux

  • DataFlux handled all of our data integration needs. It could be considered pricey when compared to Microsoft's bundled SSIS product.
Robert Goodman | TrustRadius Reviewer

Informatica Data Quality

  • 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.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

SAS DataFlux

SAS DataFlux 10.0
Based on 1 answer
We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
Robert Goodman | TrustRadius Reviewer

Informatica Data Quality

Informatica Data Quality 6.6
Based on 14 answers
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.
Satish Yasumreddy | TrustRadius Reviewer

Alternatives Considered

SAS DataFlux

No answers on this topic

Informatica Data Quality

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.
Anonymous | TrustRadius Reviewer

Return on Investment

SAS DataFlux

  • Complex data integration.
  • SAS integration.
Robert Goodman | TrustRadius Reviewer

Informatica Data Quality

  • 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
Tinu Rajat | TrustRadius Reviewer

Pricing Details

SAS DataFlux

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Informatica Data Quality

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

SAS DataFlux
9.0
Informatica Data Quality
9.0

Likelihood to Renew

SAS DataFlux
10.0
Informatica Data Quality
6.6

Reliability and Availability

SAS DataFlux
Informatica Data Quality
10.0

Online Training

SAS DataFlux
Informatica Data Quality
10.0

Implementation Rating

SAS DataFlux
Informatica Data Quality
10.0

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