Business intelligence has evolved dramatically since its introduction over a quarter of a century ago. It is now integrated into many business planning, decision-making, and operational practices and has expanded to provide new capabilities for insight, forecasting, planning, agility, and strategy execution to meet dynamic business needs. 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.
This course provides basic foundational information for BI and analytics from end to end. It presents current thinking on critical success factors and outlines common known pitfalls. Most important, it ensures that you are informed about all of the components needed to chart a course for BI success. Special attention is paid to applying the information for business value and creating a roadmap for a successful and sustainable program.
You Will Learn
Meaningful and actionable definitions of BI and analytics
How BI and analytics programs are organized and managed
Aligning BI with the business using a capability model
Characteristics of the major BI and analytics service categories
Data and integration concepts and practices, including data sources, data types, and data warehousing
Data management practices including data governance, quality management, profiling, and cleansing
Technologies needed to support BI and analytics
Approaches for developing your BI and analytics roadmap
- Inexperienced professionals with a role in BI/DW programs who need to understand the concepts and the full lifecycle of BI
- New BI/DW managers and leaders seeking to increase the value and business impact of a BI program
- Teams that need to develop a common base of concepts and terminology for BI