Oracle BI Foundation Suite Services Training Support

With more than 380,000 customers—including 100 of the Fortune 100—and with deployments across a wide variety of industries in more than 145 countries around the globe, Oracle offers an optimized and fully integrated stack of business hardware and software systems. The vendor says that it engineers hardware and software to work together in the cloud and in an organization’s data center–from servers and storage, to database and middleware, through applications. Oracle’s value proposition is that their systems:

  • Provide better performance, reliability, security, and flexibility
  • Lower the cost and complexity of IT implementation and management
  • Deliver greater productivity, agility, and better business intelligence

For customers needing modular solutions, the vendor says that its open architecture and multiple operating-system options give them unmatched benefits from best-of-breed products in every layer of the stack, allowing them to build the best infrastructure for their enterprise.

The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution.
Realizing benefits is challenging. With many moving parts—infrastructure, technology, data, integration, analytics, applications, metrics, reports, dashboards, scorecards—putting the pieces together in the most effective way is difficult. Learn the basics of BI from end to end, with special attention to two of the most important factors for BI success: planning and collaboration. You are most able to chart a course for BI success when teams and stakeholders share common concepts, use consistent terminology, and contribute collectively to the BI vision.

You Will Learn

  • Meaningful and actionable definitions of BI
  • Effective ways to deliver BI: Web, mobile, desktop, etc.
  • Common kinds of BI reporting: ad hoc, published, enterprise, and operational
  • Performance management principles, including dashboards, scorecards, and KPIs
  • Business analyst principles, including OLAP, analytic modeling, and data visualization
  • Advanced analytics concepts for data mining, predictive analytics, and text analytics
  • Data management practices, including profiling, cleansing, and quality management
  • Data integration practices, including consolidation, virtualization, and data warehousing

Geared To

  • Anyone with a role in BI/DW programs who needs to understand the concepts and the full life cycle of BI
  • BI/DW managers and leaders seeking to increase the value and business impact of a BI program
  • Business andtechnical people who need to work together to implement BI
  • Teams that need to develop a common base of concepts and terminology for BI

Technical resources.

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