WHITE PAPER:
This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence.
WHITE PAPER:
In this white paper, you'll uncover how to drive a successful business transformation. Learn how to improve your data quality while reducing the risk of delays in business-critical SAP projects.
WHITE PAPER:
This paper explores how a consolidated set of value-added data services that span the scope of data management best practices can reduce operational costs, increase efficiency, all while improving the quality and utility of enterprise data.
WHITE PAPER:
This paper describes game-changing innovations in SQL Server® 2008 R2, including self-service business intelligence (BI), server manageability, complex event processing (CEP), and Master Data Services.
WHITE PAPER:
This white paper provides details on why WebSphere Customer Center provides the strategic architecture that companies need to solve their enterprise customer management issues and realize the full benefit of their investments in CRM.
WHITE PAPER:
EIM is the effort and practice of reaching across all data and application silos embedded in the organization's operating infrastructure; then binding those repositories together into one effective information management environment. This white paper will discuss metadata management, master data management, data quality, and data migration...
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This white paper considers the potential of exploiting existing data held by organizations in such a way that it can be used to generate increased revenue. It considers the issues facing organizations in terms of the quality of their master data, as well as making recommendations to achieve improved revenue management.
WHITE PAPER:
This white paper looks at common problems experienced by MDM programs. Inside, learn how coupling MDM with business process management (BPM) can help provide greater governance and success for MDM programs.
WHITE PAPER:
Database growth, long-term data retention regulations and storage requirements increase operational costs. Yet, archiving complex relational data poses many challenges. Optim Data Growth Solution provides proven technology and comprehensive capabilities that make archiving complex relational data practical and desirable.
WHITE PAPER:
This paper discusses challenges with trusted data in enterprises and recommends solutions through a data warehousing implementation scenario. The paper also discusses the capabilities of InfoSphere Foundation Tools and provides proof points through customer scenarios on the productivity, acceleration and risk reduction benefits.
