Prepress
Stibo Systems Positioned in 2009 Magic Quadrant for Master Data Management of Product Data
Thursday 23. July 2009 - Evaluation Based on Completeness of Vision and Ability to Execute
Stibo Systems, a leading provider of master data management (MDM) software solutions, today announced that it has been recognized in Gartners 2009 Magic Quadrant for Master Data Management of Product Data1. The report evaluated 11 data management vendors.
The Gartner report states, “Enterprises that struggle to ensure a single view of product and associated product data across the enterprise in heterogeneous environments are increasing their spending on MDM initiatives, and MDM tools are seen as a primary enabler of such practices. MDM of product data is helping users meet their requirements for cost optimization, as well as acting as part of a platform to enable longer-term business growth strategies.”
Gartner cites several key drivers for the growth of the MDM market, including:
Increased revenue improved customer support, up-selling and cross-selling opportunities
Better multichannel integration and faster new product introduction
Increased supply chain visibility and a simplified environment for increased multi-enterprise collaboration
“The importance of a single, consistent view of product data across an organization cannot be overstated and the rapidly growing MDM market is an indication that the market has begun to realize its value,” said Mikael Lyngsø, CEO, Stibo Systems. “While other vendors are just starting to figure this out, Stibo Systems has been working with customers to manage product data across multiple channels for more than 15 years, giving us an unparalleled track record in this rapidly growing market.”
Stibo Systems STEP master data management platform enables customers to turn their product data into a strategic asset by more effectively gathering, managing, publishing and sharing master data across the entire information supply chain. It provides organizations with a single view of product data, enabling them to eliminate duplicated data silos, reduce costs and increase revenue opportunities.