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.

• M2 TDWI Data Modeling: Data Analysis and Design for BI and Data Warehousing Systems
  
• T2 TDWI Advanced Data Modeling Techniques
  
• W1 TDWI Requirements Gathering: Getting Correct and Complete Requirements for BI Systems
  
• W2 TDWI Dimensional Data Modeling Primer: From Requirements to Business Analysis
  
• W4 Hands-On Data Quality Assessment: A Laboratory Experience
  
• TH1 TDWI Data Warehousing Architectures: Choosing the Right Data Warehousing Approach
  
• TH3 Dimensional Modeling Beyond the Basics: Intermediate and Advanced Techniques
  
• TH4 Data Quality Assessment—Practical Skills
  
• TH6 Mastering BI with Best-Practice Architectures and Data Models: From Hub and Spoke to Agile Development
  
• F1 Integrating Data Warehouses and Data Marts Using Conformed Dimensions
  
• F2A OLAP Technologies: How to Implement Dimensional Designs
  
• F3P Predictive Analytics: Making It WorkUPDATED!