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This white paper will help you understand the role of data quality in developing profitable customer relationships. Gain insight into the strategies and technologies that can help you get the most from your customer-facing systems.
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This white paper describes sizing and best practices for deploying a data warehouse in order to prevent bottlenecks and deliver a cost-effective solution.
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View this white paper to learn how one company strengthened analytics by developing a focus on customised healthcare. It linked to relevant operational systems, how to optimise information flow and how to support the overall strategic control of the hospital at just the touch of a button.
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This white paper provides an overview of Oracle’s capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
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Data growth is one of the most significant challenges – and opportunities - facing organizations today. Those that learn to leverage the explosion of important new information sources can gain dramatic competitive advantage as others lag.
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The following white paper addresses the challenges with expansion and how to overcome them. Discover cost-effective ways to choose from turn-key deployment and keep pace with the rapid growth of user data.
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Read this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
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This paper outlines different considerations for separating decision support systems (DSS) from Transaction Processing (OLTP) environments and touches upon technical procedures for achieving the same, as well as examines data warehouse solutions, different storage topologies, storage interface optimizations and much more.
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You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.