|
ABSTRACT:
If Master data management (MDM) is defined as the processes and tools which centrally and persistently define non-transactional entities of an organization, then its execution requires consideration of many moving parts. There is the data itself, data governance, business rules, data storage and implementation. This white paper provides independent insight and guidance as to which approach might work best for your organization.
|
|
Authors
Philip Howard
Research Director - Data
Philip started in the computer industry way back in 1973 and has variously worked as a systems analyst, programmer and salesperson, as well as in marketing and product management, for a variety of companies including GEC Marconi, GPT, Philips Data Systems, Raytheon and NCR. His practice area encompasses anything to do with data and content and he has five further analysts working with him in this area. While maintaining an overview of the whole space Philip himself specialises in databases, data management, data integration, data quality, data federation, master data management, data governance and data warehousing. He also has an interest in event stream/complex event processing.
Andy Hayler
Independent Consultant
Andy is an established software industry authority, an independent strategy consultant advising corporations, venture capital firms and software companies. He is the founder of Kalido, which under his leadership was the fastest growing business intelligence vendor in the world in 2001. Kalido was recognised as an innovator in data warehousing, and then launched arguably the first true master data management product, a market which at the time did not exist but is now a well recognised and fast growing industry. Andy was the only European named in Red Herring’s “Top 10 Innovators of 2002”. He was a pioneer in blogging with his award winning “Andy On Enterprise Software” blog.
|
