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Errors in reference data ripple outwards affecting quality of master data in each domain, which in turn affects quality in all dependent transactional and analytical systems. Because reference data is used to drive key business processes and application logic, errors in reference data can have a major negative and multiplicative business impact.

What are the top business drivers for RDM?

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Are you sure you want to Yes No. Sami Laine , Person data management expertise from strategic leadership consulting to physical data modelling implementations.

Best Practices - Overview of Top 15 Reference Data Management (RDM) S…

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Embeds 0 No embeds. No notes for slide. All the stakeholders in a company have a role to play and great benefit to derive from the overall goals here, but will invariably turn towards their IT department in search of the answers. However, the majority of IT systems that have been developed within businesses are overly complex, badly adapted, and in many cases obsolete; these systems have often become a source of data or process fragility for the business.

This book shows how company executives and IT managers can take these new challenges, as well as the advantages of using reference and master data management, into account in answering questions such as: Which data governance functions are available? How can IT be better aligned with business regulations? What is the return on investment? How can we assess intangible IT assets and data? What are the principles of semantic modeling?

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What is the MDM technical architecture?