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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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Maximising Sales Performance
Sales Leads Generation through advertising
Sales force Training and Development
Sales Compensation for Consistency
Sales Leads Management SWOT
Sales Compensation Management
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  Customer Relationship Management
Customer Segmentation Parameters
Customer Value and Profitability Data Management
Customer Value and Profitability-Overview
Drivers for Customer Satisfaction & Retention
Customer-Centric product-service management
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  Human Resources & Leadership
Strategic Business Plan
People become the way you treat them
What is Leadership?
Empower Front-line Employees
Fostering Innovation
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Business Performance & Planning
3-4 hours in reviewing a scorecard.
Individual goal Sheet
Never design performance systems for specific KPI
Dashboard Health Checklist
A KPI should be simple -but it depends
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  Business Intelligence & Data Quality
Trusted first, Respected later & Loved last
Data Warehouse Change and Enhancement
Data Warehouse Implementation Deployment
Manage Leads Database Centrally
New Data Standards on existing apps
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  IT Vendors & Tools Management
Extraction, Transformation and Loading
OLAP Server Reliability
Report Development for Enterprise Reporting
Data Profiling and Monitoring
Vendor Commercial Evaluation- pre Implementation
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