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Data is an important asset to many companies and leveraging that data properly can result in operational and IT cost savings as well as drive business growth. Furthermore, managing strategic data assets is foundational to a service-oriented architecture (SOA), which in turn facilitates business process management. These statements make MDM an enticing proposition for many executives but to achieve these results, a proper data governance strategy must be in place. When considering MDM, a proper data governance discipline should consider the business drivers, project scope, roles and people filling each role, policies and procedures, data quality, integratability, social norms, and the operating model. MDM is more than a single product or process, rather, it is an ecosystem of products, processes, people, and information. When executed properly, an MDM initiative can provide both savings and revenue opportunities and fewer quality escapes. This session will provide insights and best practices gained from a global MDM initiative at The Nielsen Company by discussing: Leveraging the duopoly of master data & reference data Proactively defining the operating model up front as a key prerequisite Defining data stewardship activities as repeatable processes to govern data

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How can a company leverage master data management to realize savings while powering growth? In this session, attendees will learn firsthand from John Collins, CIO at Digi-Key, and Inderjeet Singh, vice president and general manager of emerging technologies at TIBCO Software, how this online powerhouse successfully embraced MDM, along with other leading-edge technologies, to build an infrastructure that powers a seamless exchange of information in real-time between its suppliers and customers.

In addition to increasing revenue, lowering cost and improving business agility, attendees will hear how Digi-Key leveraged technologies to:

· Secure and maintain a top position in its market to become the #1 e-commerce site in the industry

· Power operational growth and achieve competitive advantage

· Overcome and manage the substantial challenges associated with operating in a low-margin, high-volume industry

· Complement the company’s move of its catalog distribution channel online to become an industry powerhouse reseller

Conventional data governance initiatives can often lose focus and effectiveness as scope wavers and expands. This is so because organizations understand that data quality is important, but have not clarified which data and which data metrics will drive the most significant business impact. This session will outline approaches to align data governance to critical business initiatives, thereby gaining business buy-in, focusing scope, and maximizing effectiveness of data governance initiatives. The session will cover the following:

•Leveraging the connection between key data elements & business needs to provide effective profiling & mapping •Creating data metric quality targets & keys to effective measurement •Establishing a data-oriented data governance organization

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