Establishing 'Making it Happen' as a 'Formal & Predictable' Discipline

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

Customer Relationship Management

Customer Value and Profitability-Overview

Customer Segmentation Data Management

Customer Satisfaction and Retention- Overview

Customer Segmentation Actions

Customer Segmentation Parameters

Human Resources & Leadership

Be straight and blunt, till you team gets used to it

Lead diverse and collaborative teams

Give feedback closer to the observation

Roles and Level based Competency Segregation

Lead Change

Business Performance & Planning

Strategic Planning Business Themes

Business Objectives Drill Down

strategy blueprint Rationalize Align and Publish

Scorecards need manual finish

3-4 hours in reviewing a scorecard.

Business Intelligence & Data Quality

Data Warehouse Information Systems Assessment

Data Warehouse Project Scoping and Planning

Data Mart Business Theme Matrix in DW

Facts and Derived Facts Table

Data standards not only for IT

IT Vendors & Tools Management

Vendor Delivery Project Evaluation

OLAP Dimensional Model Tuning

OLAP Performance Management

Business Intelligence Vendor Evaluation

End User Reporting Features


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