TDWI Business Intelligence Principles and Practices
TDWI BI Principles and PracticesCourse Outline
Module 1 – Introduction to Business Intelligence
BI Definedo Dresner, Loshin, Rud, and Wells definitionso End-to-end BI – all of the aboveo Actionable BI – getting from concepts to capabilities
BI Componentso People and Applicationso Systems and Processeso Data and Technology
BI Perspectiveso Business Viewo Architecture and Infrastructure Viewso Development and Operations Views
The BI Roadmapo Evolving BIo Parallel Paths: Business Information Data Technologyo BI Maturity
Module 2 – Business Metrics and Analytics
Performance Managemento Definition and conceptso Measures, Metrics, and Monitoringo Key Performance Indicators (KPIs)o Scorecards and Dashboards
Business Analyticso Definition and Conceptso Analytic Modelingo Analytic Purpose: Predict, Forecast, Simulate, Experiment, Discover
Advanced Analyticso Data Visualizationo Data miningo Predictive analyticso Geo-spatial analyticso Text analyticso Decision Management
Decision Managemento 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 Course Outline
Information Service Layerso Three Layer Service Model
Data Access and Deliveryo Query Serviceso Data Feeds and Downloads
BI Reportingo ad hoc, parameterized, publishedo enterprise, operational ...o tablular, visual
OLAPo OLAP Definedo Dimensional Data Marts and Star Schemao The OLAP “Cube”o Slice-and-dice Analysis
Information Services in the BI Roadmap
Module 4 – Data Integration
Data Integration Architecture o Integration Strategyo The Purpose of Architectureo Architectural Components and Structureso Integration Techniques and Technologies
Data Types and Sourceso Event, Referenceo Descriptive, Metrico Internal, Externalo Structured, Unstructured, Semi-Structured, Multi-Structured, o Relational, Multi-dimensional, Hierarchical, Taggedo Row-based, Columnar, NoSQL, etc.
Data Warehousingo Data Warehouse Conceptso Data Warehouse Architectureo Data Warehouse Development and Implementationo Data Warehouse Operation
Data Integration in the BI Roadmap
Module 5 – Data Management
Data Profilingo Definition and Conceptso Profiling Techniqueso Analyzing Data Profileso Tools and Technology
Data Qualityo Data Quality Conceptso Data Quality Assessment
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TDWI Business Intelligence Principles and Practices Course Outline
o Data Quality Improvement Data Governance
o Data Governance Conceptso Data Governance Roles and Responsibilitieso Data Stewards
Data Management in the BI Roadmap
Module 6 – BI Technology
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 Architectureo Effectivenesso Efficiencyo Cohesiono Service Levelso Evolution
Technology Managemento Systems administration and managemento Network administration and managemento Database administration and management
Technology in the BI Roadmap
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