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TDWI Business Intelligence Principles and Practices
TDWI BI Principles and Practices
Course Outline
Module 1 – Introduction to Business Intelligence
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BI Defined
o Dresner, Loshin, Rud, and Wells definitions
o End-to-end BI – all of the above
o Actionable BI – getting from concepts to capabilities
BI Components
o People and Applications
o Systems and Processes
o Data and Technology
BI Perspectives
o Business View
o Architecture and Infrastructure Views
o Development and Operations Views
The BI Roadmap
o Evolving BI
o Parallel Paths: Business  Information  Data  Technology
o BI Maturity
Module 2 – Business Metrics and Analytics
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Performance Management
o Definition and concepts
o Measures, Metrics, and Monitoring
o Key Performance Indicators (KPIs)
o Scorecards and Dashboards
Business Analytics
o Definition and Concepts
o Analytic Modeling
o Analytic Purpose: Predict, Forecast, Simulate, Experiment, Discover
Advanced Analytics
o Data Visualization
o Data mining
o Predictive analytics
o Geo-spatial analytics
o Text analytics
o Decision Management
Decision Management
o Definition and Concepts
o Types of Decisions
o Decision Processes
o Decision Automation
Metrics and Analytics in the BI Roadmap
Module 3 – Information Services
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TDWI Business Intelligence Principles and Practices
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Course Outline
Information Service Layers
o Three Layer Service Model
Data Access and Delivery
o Query Services
o Data Feeds and Downloads
BI Reporting
o ad hoc, parameterized, published
o enterprise, operational ...
o tablular, visual
OLAP
o OLAP Defined
o Dimensional Data Marts and Star Schema
o The OLAP “Cube”
o Slice-and-dice Analysis
Information Services in the BI Roadmap
Module 4 – Data Integration
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Data Integration Architecture
o Integration Strategy
o The Purpose of Architecture
o Architectural Components and Structures
o Integration Techniques and Technologies
Data Types and Sources
o Event, Reference
o Descriptive, Metric
o Internal, External
o Structured, Unstructured, Semi-Structured, Multi-Structured,
o Relational, Multi-dimensional, Hierarchical, Tagged
o Row-based, Columnar, NoSQL, etc.
Data Warehousing
o Data Warehouse Concepts
o Data Warehouse Architecture
o Data Warehouse Development and Implementation
o Data Warehouse Operation
Data Integration in the BI Roadmap
Module 5 – Data Management
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Data Profiling
o Definition and Concepts
o Profiling Techniques
o Analyzing Data Profiles
o Tools and Technology
Data Quality
o Data Quality Concepts
o Data Quality Assessment
o Data Quality Improvement
Data Governance
o Data Governance Concepts
© The Data Warehousing Institute
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TDWI Business Intelligence Principles and Practices
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Course Outline
o Data Governance Roles and Responsibilities
o Data Stewards
Data Management in the BI Roadmap
Module 6 – BI Technology
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The Technology Stack
o Technology Layers
 Infrastructure
 Data Sourcing
 Data Management
 Data Integration
 Information Services
 Business Applications
 Business Analytics
 Decision Management
o Functions and Services
 Development Platform
 Operations and Administration Platform
 Cloud Services
 Appliances
 Mobile BI
Technology Architecture
o Effectiveness
o Efficiency
o Cohesion
o Service Levels
o Evolution
Technology Management
o Systems administration and management
o Network administration and management
o Database administration and management
Technology in the BI Roadmap
© The Data Warehousing Institute
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