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IBM is a global technology and innovation company headquartered in Armonk, NY. It is the largest technology and consulting employer in the world, with approximately 427,000 employees serving clients in 170 countries. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world’s most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become “smarter” as the planet becomes more digitally interconnected. This includes working with organizations and governments to build systems that improve traffic congestion, availability of clean water, and the health and safety of populations. IBM invests more than $6 billion a year in R&D, just completing its 18th year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame. The company was behind the inventions of the PC; SABRE travel reservation system; UPC codes, Watson, the Jeopardy!-playing computing system, and much more.

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