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Many companies are challenged by time-to-value for enabling new analytical capability. In this white paper, learn how to integrate database, server, and storage into a single, easy-to-manage appliance that requires minimal setup and ongoing administration while producing faster and more consistent analytic performance.
WHITE PAPER:
This white paper discusses the challenges facing companies when it comes to the analysis of unique data, like emails and chat logs. Access now to see how one system provides valuable insights from non-binary information, a key aspect of a successful future.
WHITE PAPER:
This whitepaper discusses how organizations can proactively manage their customer relationships and deliver superior customer service – all by implementing mobile and cloud tools for their field representatives.
WHITE PAPER:
Access this informative white paper to learn about an engineering lifecycle management tool that provides comprehensive views into the product lifecycle, and goes beyond data integration to reduce the complexity of this process.
WHITE PAPER:
This CITO Research guide offers an overview of the various levels of data monetization based on the experiences of those paving the way. This guide will help you understand data monetization so you can gauge your organization's readiness for taking on a data monetization strategy
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This technical resource examines three key new features of SQL Server 2014 that deliver mission-critical performance, faster data insights, and migration of data to the cloud.
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Read on to find details about SAPs BusinessObjects Predictive Analysis, including how the NBA used HANA to help cater to stat-hungry fans.
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This brief resource introduces a tool that delivers real-time data integration from Oracle to Hadoop databases to help you affordably empower analytics.
WHITE PAPER:
This whitepaper examines a cloud integration tool designed to address the “integrator’s dilemma” of being forced to choose one integration tool over another to cover a variety of use cases.
WHITE PAPER:
This white paper considers the essential questions when it comes to implementing self-service analytics. Access now to see what role big data plays, how to cater to the needs of different users, and if your data is self-service ready.
