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Establishing 'Making it Happen' as a 'Formal & Predictable' Discipline
   Business Intelligence Architecture Scenarios Business Intelligence Management  

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

CHAPTER - 

OLAP Architectures
OLAP is an important component of BI big picture. OLAP within itself has different ways to store and access data. The common options are MOLAP, ROLAP and HOLAP.


Topics
MOLAP Multi-dimensional OLAP architecture   
This OLAP architecture has summarized data stored in Multi-dimensional Data base format.
 
ROLAP- Relational OLAP architecture   
This OLAP stores the Data in relational format, while presenting it in Multi-dimensional format.
 
HOLAP- Hybrid OLAP architecture   
This is the balance between ROLAP and MOLAP.
 
OLAP Architecture choice   
Each of the architectures have their own context and relevance.
 

   Business Intelligence Architecture Scenarios Business Intelligence Management  

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 → 

 
 
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BI Architecture Components
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Key Performance Indicators



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Maximising Sales Performance
Sales Campaign Management
Sales geographic expansion
Sales Channel Mix Profitability
Enhancing Sales Channel productivity
telemarketing Sales Lead Generation
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  Customer Relationship Management
What is Customer Segmentation?
Customer-Centric product-service management
Supply Chain for Customer Service and Support
Customer Value and Profitability Tips and Actions
Customer Segmentation approach
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  Human Resources & Leadership
People become the way you treat them
Feedback does not mean only negative feedback
Roles and Level based Competency Segregation
Setting Strategic Intent and Alignment
Business and Financial Acumen
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Business Performance & Planning
Dashboard Health Checklist
A KPI should be simple -but it depends
Stakeholder test for Scorecard
Shifting the mind-set to leading Indicators- KPIs
For important KPIs- Install first & Fix later
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  Business Intelligence & Data Quality
Customer Data Correction and Techniques
Data Warehouse sharing and browsing
Dimensional Model Completion Checklist
Derived Dimension Attributes Table
Aggregates & Details in Fact tables
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  IT Vendors & Tools Management
Vendor Evaluation Matrix
Metadata Repository sharing
Scalability Technical Evaluation
Vendor Commercial Evaluation- pre Implementation
Data Quality Tools Integration
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