Building Making It Happen
Establishing Making-it-Happen as ‘Formal & Measurable’ Business Discipline
  Sign-in         Register
    
   BI Architecture Components OLAP Architectures  

Execution-MiH ENCYCLOPEDIA  →   Enterprise Intelligence →  SECTION - BI End-to-End → 

CHAPTER -  Business Intelligence Architecture Scenarios

These are some of the most common combinations which could exist to enable Business Intelligence


Topics
One tier Data Warehouse   
This is most basic set-up having a staging database accessed by end-user tools
 
Two tier Data Warehouse Architecture- Independent Data Marts   
This is the next step of evolution before we get onto a Data warehouse
 
Two tier Data Warehouse Architecture- Staging and Data Warehouse   
This is the utopian scenario, where an enterprise staging is supplying data to enterprise Data Warehouse.
 
Three Tier Data Warehouse -Business Intelligence Architecture   
This scenario has a Data Warehouse supplying to Data Marts.
 
BI Mixed Data Access   
In real world, end user tools access data from various sources.
 
Business Intelligence Metadata Architecture Scenarios   
Business Intelligence Metadata Architecture has essentially two scenarios- Centralized and Distributed. This page provides you the representation and comparison across these two scenarios.
 

   BI Architecture Components OLAP Architectures  

All Chapters in "BI End-to-End." Section
 BI Architecture Components →  Business Intelligence Architecture Scenarios →  OLAP Architectures →  Business Intelligence Management →  Business Intelligence Competency Centre →  Business Intelligence Performance Management → 

 
 
Back
CONTENT ZONE
BI End-to-End

Featured Pages
Data Quality Assurance Checklist
Add extra buffer for ETL phase
Effectiveness of Data Stewardship
HOLAP- Hybrid OLAP architecture

Make 'Executable' Strategy
Maximize Results
Maximize People
Manage Execution

Featured Pages
Data Mapping and Column Analysis
Semi-Additive Measures-Facts
BI Cost-Reduction- Consolidate Marts
Data Warehouse ETL Extraction