TDWI World Conference Fall November 7-12, 2010

Business Analytics

Business Analytics focuses on the effective use of data and information to drive positive business actions. The body of knowledge for this area includes both business and technical topics: concepts of performance management, definition and delivery of business metrics, data visualization, and deployment and use of technology solutions such as OLAP, dashboards, scorecards, analytic applications, and data mining.

• S1 TDWI Data Warehousing Concepts and Principles: An Introduction to the Field of Data Warehousing
  
• S4 TDWI Design Techniques for Dashboards and ScorecardsNEW!
  
• M1 TDWI Business Intelligence Fundamentals: From Data Warehousing to Business Impact
  
• M2 TDWI Dimensional Data Modeling Primer: From Requirements to Business Analytics
  
• M3 TDWI Performance Management: Measurement, Metrics, and Monitoring
  
• T2 Dimensional Modeling Beyond the Basics: Intermediate and Advanced Techniques
  
• T3 TDWI Business Analytics: Exploration, Experimentation, and Discovery
  
• T4A Managing and Evaluating Your BI Tool Portfolio
  
• T4P Cool BI: The Latest Innovations
  
• W3 Measuring Intangibles: Breaking Down Analytic Barriers
  
• W4P Evaluating Alternate Database Technologies for Data Warehousing and AnalyticsNEW!
  
• TH3 Data Mining Methods and Techniques: Data Preparation, Model Building, and Evaluation
  
• TH4 Enabling BI for the 21st Century
  
• F2 Predictive Analytics: Low-Risk Strategies for High-Impact Projects
  
• F4A Social Analytics in the Enterprise
  
• F4P SaaS, the Cloud, and BI
  
• F5P Delivering BI for Mobile Users
  
• F6P Operational Business Intelligence: Why, What, and How