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Learn about a software platform that helps companies derive more value from the complex, heterogeneous information spread across systems. Learn how to integrate disparate data and deliver trusted information wherever and whenever.
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This paper discusses key challenges facing business today driving the need for more proactive, operational business intelligence, and how an operational BI implementation impacts both traditional and business transaction enabled environments.
WHITE PAPER:
Organizations in all industries and of all sizes are turning to business intelligence (BI) and data warehousing (DW) technologies and services to either automate or support decision-making processes.
WHITE PAPER:
Learn about the evolution of operational business intelligence (BI), the components of an operational BI solution, and the experiences of four companies that have implemented real-world, operational BI solutions.
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This paper reviews the main issues facing today's banks, as well as an approach to designing, implementing, managing and maintaining an effective data governance support structure - all while helping banks maintain compliance to government regulations.
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This white paper provides an architectural overview and configuration guidelines for deploying Microsoft SQL Server 2005 Business Intelligence and Data Warehouse technologies on Dell PowerEdge servers with Dell PowerVault storage.
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Learn how DB2 can help you meet the demands of business intelligence by reducing query response time from hours to seconds, supporting real time data warehousing, and optimizing your storage while lowering operating costs.
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This paper compares the TCO of Oracle11g and Sybase ASE 15 databases, and demonstrates Sybase as the clear winner. Read this paper to learn why enterprises choose Sybase ASE on Linux for mission-critical applications that demand lightning-fast performance.
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This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.