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More and more, organizations want to base decisions on facts, have complete views of customers, manage operations by the numbers, predict and plan strategically, and compete on analytics. As a foundation for achieving these goals, organizations need a modern infrastructure for data warehousing and business analytics. Therefore, data warehouse modernization and the development of new analytic applications have become strategic goals for organizations moving toward data-driven business.

In this executive briefing, we’ll discuss trends and strategies for data warehouse modernization and analytics programs that address the needs of the modern data-driven business.

Join us on September 1st to learn:

  • Business and technology benefits of modernizing a data warehouse
  • Achieving high performance for today’s fast-paced operational analytics
  • In-memory technology as an enabler of modern warehousing and analytics
  • Integrating data from multiple sources in real time for analytics
  • Leveraging new computing architectures—such as in-memory computing, embedded analytics, columnar databases, big data, and Hadoop—to build a high-performance analytic system
  • Real-world use cases for modern data warehouses and analytics applications

Register today, we look forward to meeting you!

SAP and Intel