TDWI World Conference Fall November 7-12, 2010

CBIP

Prerequisite: None

Tony Lopykinski

One-Day Course

Course Preview  |  Course Outline

Analytics is at the forefront of business intelligence. The promise of BI is found in data analysis that provides insight and drives innovation. Data-driven investigation, exploration, and experimentation lead to the kinds of discoveries that uncover opportunities and help answer future-looking questions. Analytics is a hot topic in business management, and quantitative analysis has rapidly become the in-demand skill for data management. What was once a specialty field exclusive to statisticians and mathematicians has become mainstream. Today’s business analysts combine understanding of business, data, statistics, math, visualization, and problem solving to meet business-critical needs for information, understanding, and insight.

You Will Learn

• How models are used to define and frame analytic needs
• Model development techniques, including influence diagramming, spreadsheet engineering, and parameterization
• Model refinement techniques, including sensitivity analysis, strategy analysis, and iteration
• Discovery-oriented techniques, including heuristic analysis, subjective probability, hypothesis formation, and experimentation
• Statistical foundations of data analysis, including histograms, standard deviation, and regression
• The data side of analytics: data preparation, data cleansing, data visualization
• The human side of analytics: communication, conversation, collaboration
• A bit about analytics tools from free and open source to advanced analytics technology

Geared To

• Practicing business analysts and those who aspire to become business analysts; business functional managers responsible for analyzing performance and risk; BI program managers, architects, and project managers; BI and IT professionals seeking to know more about business analytics