TDWI World Conference

Data Analysis and Design

Data Analysis and Design provides the foundation for delivery of BI applications. Analysis concentrates on understanding business needs for data and information. Design focuses on translating business information needs into data structures that are adaptable, extensible, and sustainable. Core skills include information needs analysis, specification of business metrics, and data modeling. A solid understanding of data warehousing concepts, architectures, and processes is also essential.

• M1: TDWI Data Warehousing Architectures: Choosing the Right Data Warehousing Approach
  
• M2: TDWI Data Modeling: Data Analysis and Design for BI and Data Warehousing Systems
  
• M3: Dimensional Modeling from a Business Perspective: A Model the Business Can Understand
  
• T2: TDWI Dimensional Data Modeling Primer: From Requirements to Business Analysis
  
• T4: Intermediate and Advanced Techniques for Effective Data Modeling
  
• T6: Data Driven: Managing Data Assets
  
• W2: Dimensional Design: Intermediate and Advanced Techniques*
  
• W7: Practical Data Quality ManagementNEW
  
• W8 Kimball Data Warehouse Lifecycle Overview
  
• TH1: TDWI Requirements Gathering: Getting Correct and Complete Requirements for BI Systems
  
• TH5: Integrating Data Warehouses and Data Marts Using Conformed Dimensions
  
• TH7P: Predictive Analytics: Making It WorkUPDATED!
  
• TH8P: Data Profiling for Data Quality Assessment, Reengineering, and Data Integration
  
• F3: Business Requirements Workshop: BI Requirements Gathering Techniques
  
• F5A: OLAP Technologies: How to Implement Dimensional Designs