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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