TDWI Business Intelligence and Analytics Architecture Training

• Business, data, integration and technology architects involved in business analytics and intelligence programs
• Business Analytics and Intelligence program and project managers that need a basic understanding of the fundamental components of successful analytics and BI programs
• Business Analytics and Intelligence team members that need a better understanding of the big picture of the systems they work with

• The full scope of architectural objectives – structural integrity, standardization, reusability, environmental fit, esthetics, and sustainability
• A framework to ensure overall architectural completeness and success - business purpose, organization, integrated information, process and technology platforms
• A framework to organize business components - performance, stakeholders, processes, rules and information
• A framework to organize the organization - people, purpose, process and structure
• A framework to organize information components and capabilities- collection, storage, operational data integration, data warehousing, big data integration, distribution/access/applications and data modeling/metadata management
• A framework to organize the processes associated with business analytics and intelligence - methodologies, data governance, data modeling/metadata management, data flow, business processes and operations/support
• A framework to organize technology platform components - servers, data sourcing, databases, storage, data integration, business analytics and data management

Module 1 - Business Intelligence and Analytics Architecture Concepts 

• Architecture Defined
  • What is Architecture?
  • Zachman Framework
  • Why Architecture Matters to Analytics and BI
• Business Intelligence and Analytics Acrchitecture Defined
  • Architecture Defined
  • BI Defined
  • Business Analytics Defined
  • BI and Analytics Work Together
• Architecture Framework
  • A Components Framework

Module 2 - Architecting Business Capabilities

• Business Architecture Concepts
  • Framework for Business Architecture
• Business Performance
  • Definition and Concepts
  • Performance Management
  • Key Performance Indicators
• Business Stakeholders
  • Responsibilities, Roles, and Interest
• Business Processes
  • Process Concepts
• Business Rules
  • Assertions and Constraints
• Business Information
  • Information Uses
• How Business Architecture Fits In
  • Align Investments with Business Goals
  • Business Architecture Purpose

Module 3 - Architecting Organizations

• Organizational Architecture Concepts
  • Framework for Organizational Architecture
• Modeling Organizations
  • Organizational Charts
  • Strategic and Tactical Plans
• People
  • Roles and Capabilities
  • Challenges with BI/BA Teams
• Purpose
  • From Goals to Results
  • Balancing Centralization with Self-Service
• Process
  • Action and Information
  • Federated Development and Governance
• Structure
  • Connecting People
• How Organizational Architecture Fits In
  • Organizational Fit

Module 4 - Architecting Integrated Information

• Integrated Information Architecture Concepts
  • Framework for Integrated Information Architecture
• Modeling Data
  • Levels of Data Modeling
  • Data Structures
  • Data Taxonomy
  • Metadata
• Collection and Storage
  • Bringing Data into the Business
  • Structures, Locations, Technologies
• Data Integration
  • Integrating Data Sources
  • Data Integration Hubs
  • DW Architecture Options
  • Hybrid Architectures
  • Extending DW with Virtualization
  • Many Types and Levels of Integration
• Big Data Environment
  • Data Lakes
  • Analytics Sandboxes
  • Unifying the Enterprise Information Architecture
• Distribution, Access, and Applications
  • Retrieving Data
  • Data Consumers
• How Integrated Information Architecture Fits In
  • Integrated Information Fit

Module 5 - Architecting Process

• Process Architecture Concepts
  • Framework for Process Architecture
  • Generic Definition of Process
• BI Development
  • Program Management and Iterations
  • SDLC
• BI Use
  • Data Flow
  • Enterprise and Ad Hoc Reporting
  • OLAP
  • Scorecards and Dashboards
  • BI Used Within Business Processes
• BI Operations
  • Supporting Data Integration
  • Running Production BI Systems
• Analytics Development
  • CRISP-DM
  • Ad Hoc or Program
  • Schema-on-Read Versus Schema-on-Write
  • Data Visualization
• Analytics Use
  • Learning about Our Business
• Analytics Operations
  • Supporting Business Analytics
• Data Governance
  • Data Governance Defined
  • Data Stewardship and Curation
  • Data Quality Management
• How Process Architecture Fits In
  • Process Fit

Module 6 - Architecting Technology Platforms

• Technology Architecture Concepts
  • Business Intelligence and Analytics Technology Stack
• Modeling Technology Platforms
  • Networks and Servers
  • Vendor-Centric Versus Best of Breed
• Servers
  • Many Options
• Data Sources
  • Batch, Event, Streaming
• Databases and Storage
  • RDBMS, Hadoop, Nonrelational
  • Direct Attached, Solid State, SAN, Cloud Storage
• Integration
  • Integration Tools
• Business Analytics Technology
  • A Variety of Tools
  • Data Preparation, Discovery, Blending
• Business Intelligence Technology
  • Variety of BI Tools
• Data Visualization
  • Presenting Compelling Data Stories
• Data Management
  • Profiling, Quality, Metadata, Governance
• How Technology Architecture Fits In
• Technology Fit

Module 7 - Summary and Conclusion

• Tying It All Together
  • Harmonizing the Viewpoints