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Data Warehousing and Business Intelligence (Momentary Look)

Data Warehousing and Business Intelligence

Key Steps in DW/BI Implementation in Data Warehousing and Business Intelligence

Data Warehousing and Business Intelligence Requirements:

  • Requirements’ Understanding
  • Define and Maintain the DW/BI Architecture
    • Define DW/BI Technical Architecture
    • Define DW/BI Management Processes

Development of Data Warehouse and Data Marts

  • Develop the Data Warehouse and Data Marts
    • Map Sources to Targets
    • Remediate and Transform Data
  • Populate the Data Warehouse

Business Intelligence Implementation and User Management

  • Implement the Business Intelligence Portfolio
    • Group Users According to Needs
    • Match Tools to User Requirements

Data Product Management and Performance Tuning

  • Maintain Data Products
    • Release Management
    • Manage Data Product Development Lifecycle
    • Monitor and Tune Load Processes
    • Monitor and Tune BI Activity and Performance

Essential Tools for DW/BI Success

  • Metadata Repository
    • Data Dictionary / Glossary
    • Data and Data Model Lineage
  • Data Integration Tools
  • Business Intelligence Tools

Advanced BI Applications in Data Warehousing and BI

  • Operational Reporting
  • Business Performance Management
  • Operational Analytic Applications
    • Multidimensional Analysis – OLAP

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