Business Intelligence for Office 365 allows users to model and analyze their data, and query large datasets with complex natural language queries. The tool also allows users to easily visualize their data in Excel with the help of Power View and Power Map.
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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
- 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
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