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 →

Back

Customer Relationship Management

Customer Knowledge and Organizational Knowledge

Customer Value and Profitability Tips and Actions

Supply Chain for Customer Service and Support

Customer-Centric product-service management

Exit barriers for Customer Retention

Human Resources & Leadership

Competencies Definitions

Feedback does not mean only negative feedback

Setting Strategic Intent and Alignment

Maximize the output first and then the potential

Fostering Innovation

Business Performance & Planning

A KPI should be simple -but it depends

External Info Assessment Report

Shifting the mind-set to leading Indicators- KPIs

SWOT Analysis in Strategic blueprint Planning

strategy blueprint Rationalize Align and Publish

Business Intelligence & Data Quality

BICC Governance- Process, Technology and Data

Object Level Data Quality Tracking- BAU

Customer Data Variations

Data Quality Policy

Ask for dates instead of years

IT Vendors & Tools Management

Metadata Repository sharing

enterprise Reporting Server connectivity

Data Cleansing and Augmentation

OLAP Architecture Cache Management

Metadata Tool Architecture Features


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