Zoomix Accelerates Master Data Management Success

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David Loshin speaks with Zoomix’s Nathan Birtle in an exclusive interview.

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Zoomix’s self-learning technology is uniquely able to accelerate MDM implementations by automatically matching and normalizing complex master data in concert with the MDM system

Nathan Birtle, GM of European Operations for Zoomix, in an exclusive interview with David Loshin and the Business Intelligence Network (http://www.BeyeNETWORK.com)], discusses a technological approach for accelerating the success of master data management (MDM) solutions. Zoomix’s advanced software synchronizes master data across the organization by self-learning the enterprise’s particular information and improving data quality on the fly.

“Zoomix’s self-learning technology is uniquely able to accelerate MDM implementations by automatically matching and normalizing complex master data in concert with the MDM system,” says Nathan Birtle, GM of European Operations for Zoomix. “The system is fast and easy to implement with any type of data and begins delivering impressive results almost immediately. This is possible only with a product, such as ours, that requires absolutely no manual creation or maintenance of system rules.”

“Implementing any shared master data program introduces a number of challenges in transitioning the application architecture to exploit the enterprise master data asset,” says David Loshin, President of Knowledge Integrity, Inc. and Information Quality Channel Expert for the Business Intelligence Network. “Zoomix’s elegant self-learning approach addresses these challenges by combining advanced semantic analysis, data mining and machine learning technologies to adjust and improve the precision of the underlying matching and normalization engine, thus highly automating the integration of data from multiple applications and databases.”

To listen to the interview, please click here.

The Business Intelligence Network Solution Spotlights are intuitive dialogues with innovative solution providers, and these spotlights provide a cutting-edge introduction to the new products and services we know are of interest to the business intelligence community. The network publishes six newsletters serving more than 115,000 readers across a wide variety of industries, making us the largest newsletter-based information source for business intelligence, performance management, data warehousing, data integration and data quality.

About Zoomix
Zoomix develops and markets software to accelerate the implementation of master data management solutions. The company’s proprietary self-learning technology combines advanced semantic analysis with machine learning to automatically eliminate duplicates, inconsistencies and redundancies in corporate master data. Unlike rules-based systems, Zoomix’s products excel with all types of semi-structured, complex corporate data, including highly-variable product data and financial data. The company has attracted the attention of customers and analysts alike with its products’ superior speed, accuracy and ease of implementation.

About Business Intelligence Network™
The Network’s flagship site BeyeNETWORK.com leads the industry with up-to-the-minute news, newsletters, articles, executive spotlights, podcasts, expert-hosted channels and blogs. Experts include Claudia Imhoff, Bill Inmon, Craig Schiff, Colin White, David Loshin, and others. BeyeRESEARCH.com provides research and case studies from leading authors and experts in business intelligence. BeyeBLOGS.com is a business intelligence-specific community blogging site which provides an open forum about industry issues and challenges. BeyeSEARCH.com offers the first and only editor-driven directory and search engine specially built to serve this industry.

This press release is based upon information provided by the Company. The Business Intelligence Network does not independently verify statements made and has no obligation to update these statements after the date of release.

Business Intelligence Network
Katie Rostermundt

Tiran Green

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