IBM Infosphere Information Analyzer Overview

IBM Infosphere Information Analyzer is the #6 ranked solution in our list of top Data Quality tools. It is most often compared to Informatica Data Quality: IBM Infosphere Information Analyzer vs Informatica Data Quality

What is IBM Infosphere Information Analyzer?
IBM Information Analyzer provides data quality assessment, data quality monitoring and data rule design and analysis capabilities. This software helps you derive more meaning from your enterprise data, reduces the risk of proliferating incorrect information, facilitates the delivery of trusted content, and helps to lower data integration costs.

IBM Infosphere Information Analyzer is also known as Information Analyzer.

Buyer's Guide

Download the Data Quality Buyer's Guide including reviews and more. Updated: May 2021

IBM Infosphere Information Analyzer Customers
Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
IBM Infosphere Information Analyzer Video

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SAP SD-MM-WM Consultant at a pharma/biotech company with 10,001+ employees
Vendor
Product had purported features that fell short of how they were hyped, or didn't work at all.

What other advice do I have?

Be sure your people on the ground who will be using it are in the room with IBM making sure their needs are represented and addressed. They'll know the legacy data landscape, and where it's going...not management.
ETL Consultant with 51-200 employees
Vendor
It's a good product, although there are some features which need to be enhanced.

What other advice do I have?

Information Analyzer is still a good product. It enables the auto data profiling for the end users and it is also capable of doing data quality analysis via business language oriented rules. Being a component of Information Server suite, IA is also leveraging some advantages from it, like shared metadata and powerful parallel engine. Although there are some features which need to be enhanced, I would still recommend others to use IA as a product for data profiling and data quality control.
Find out what your peers are saying about IBM, Informatica, Oracle and others in Data Quality. Updated: May 2021.
501,151 professionals have used our research since 2012.
ETL Consultant at a tech services company with 51-200 employees
Consultant
Data analysis features are usefull but they should improve performance and comparison of results.

What other advice do I have?

If you have too many modifications in your data, data structures, or too many data migrations, then you can purchase this tool, otherwise it is not a tool to use daily because it gives you just a snapshot of data.
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Buyer's Guide
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