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2012 Gartner Magic Quadrant for Data Quality Tools – Informatica Positioned as a Leader

It’s that time of year again when Gartner publishes their annual Magic Quadrant for Data Quality Tools  and Informatica has been positioned as a leader. Informatica continues to build off of a strong heritage of success in delivering enterprise data quality solutions  through a continued focus on delivering industry leading data management solutions to address the end-to-end data quality lifecycle. In large part, our progress can be attributed to our product roadmap, specifically our recent release of Informatica Data Quality 9.5, aimed at helping organizations maximize their return on data. Let’s look at a few of the more significant additions for this release:

Data Governance and Stewardship

Data governance as a corporate initiative is certainly here to stay and increasingly, organizations are looking for ways to leverage technology more effectively in support of their governance efforts. In Informatica Data Quality 9.5 we’ve added new capabilities so data stewards can use technology to their advantage. In particular, new workflow and task management capabilities help automate otherwise manual, error prone data reconciliation steps. Armed with such capabilities, data stewards can effectively align the activities of both business and IT in addressing data quality issues without excessive overhead.

All Data

With the rise of social computing platforms, customer analytics has a new wealth of information from which to produce unforeseen insight into customer and product patterns. The challenge, however, is how to make sense of what is otherwise unstructured information.  One solution is natural language processing (NLP) which uses probabilistic analytics initiatives. With NLP available in Informatica Data Quality 9.5 organizations can now make sense of free form text from feeds like Facebook or LinkedIn and use that to sharpen their decision making processes while harnessing the benefits of big data.

Data Discovery

Data discovery, quite simply, is the process of uncovering specific types of data when its meaning is not otherwise known. With new data discovery capabilities now available in Informatica Data Quality 9.5, organizations can easily and effectively identify key pieces of information without the need for manual intervention. This is particularly of value in areas such as data masking, where the identification of sensitive information such as personally identifiable information (PII) is of utmost importance.

These are just a few of the capabilities introduced in Informatica Data Quality 9.5 last month.  As is evidenced in the 2012 Magic Quadrant, we believe the innovation and roadmap for our products is clearly going in the right direction. We’re excited by what lies ahead and have plans to continue to drive new and innovative capabilities for the data quality market.

About the Magic Quadrant

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose

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This entry was posted in Business/IT Collaboration, Data Governance, Data Quality, Enterprise Data Management, Informatica 9.5, Pervasive Data Quality, Uncategorized. Bookmark the permalink.

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