The Intelligent Data Hub™ Company Is Shaping the Market with its Solid Understanding, High Customer Satisfaction and Value-driven Approach
San Francisco, CA: Semarchy makes a strong debut this year in the Challenger category of Gartner’s Master Data Management Solutions Magic Quadrant. The Intelligent Data Hub™ agile and innovative approach championed by Semarchy is influencing the current market and generating great outcomes for clients. With a strong product offering, credible market position, and resources for sustained growth, Semarchy is demonstrably poised to challenge the vendors in the leaders quadrant.
“We are thrilled to enter the Gartner Magic Quadrant, and in such a notable position,” said Semarchy founder and CEO, Salah Kamel. “Our constant innovation and differentiated value-proposition is reflected in our intelligent platform and is now recognized as a market leading approach. I offer my sincere thanks to our clients whose success remains at the heart of our strategy. Their continued feedback to us and testimonials on our behalf have helped us to reach our current strong position, and we look forward to our continued partnership.”
The Intelligent Data Hub™ approach is applied to several types of applications, including MDM, to solve critical business challenges and to deliver value across the data management chain. With the growing interactions and observations collected by enterprises through various data acquisition points, an Intelligent Data Hub™ is the foundation to collaboratively govern this data in an agile, measurable environment, and drive accuracy, increase revenue, optimize operations and minimize risks. Semarchy makes the smartest data management technology accessible to the broader audience of large and small data-driven organizations.
About Semarchy: Semarchy is the Intelligent Data Hub™ company. Its xDM platform empowers organizations of any size to build data applications quickly, with fast time to value. A single software platform for governance, master, reference and application data management as well as data quality, enrichment, and workflows means that trusted information projects can be delivered without the wasted time of cobbling together bits of software, interfaces, and integration layers.
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