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

Execution-MiH Encyclopedia  →   Enterprise Intelligence  → 

SECTION - BI End-to-End

Take this as the Introduction/Big picture part of the BI Encyclopedia, before you get onto individual sections. BI end-to-end view covers all BI related subjects which pertain to overall BI Architecture, Management, Organization and BI evolution.


 
Chapters

BI Architecture Components   

These are the building block of the BI architecture. All possible architecture scenarios will have some or all of these components. This chapter endeavors to de-mystify the definitions of often misused terms.

Topics in this chapter :  BI Data Warehouse Source System →  Data Warehouse BI Staging Area →  De-normalized DW- Data Warehouse vs. Data mart →  OLAP Server Layer and capabilities- Why is OLAP needed? →  ODS- Operational Data Store →  BI & Data Warehouse- End User Tools →  Business Intelligence Metadata Model → 

Business Intelligence Architecture Scenarios   

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

Topics in this chapter :  One tier Data Warehouse →  Two tier Data Warehouse Architecture- Independent Data Marts →  Two tier Data Warehouse Architecture- Staging and Data Warehouse →  Three Tier Data Warehouse -Business Intelligence Architecture →  BI Mixed Data Access →  Business Intelligence Metadata Architecture Scenarios → 

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 in this chapter :  MOLAP Multi-dimensional OLAP architecture →  ROLAP- Relational OLAP architecture →  HOLAP- Hybrid OLAP architecture →  OLAP Architecture choice → 

Business Intelligence Management   

Business Intelligence management as a subject covers various aspects of providing BI to an organization. It includes creation of business intelligence program office (which can operate on continuous basis- as BI projects never stop), and how to scope, plan, deliver and maintain BI portfolio of an organization. Here we will be talking about overall BI and not of its individual components like Data Warehouse. The component level management is given in respective sections. You need to look at BI Architecture chapter in the same section, to understand on what all is included in the BI, before going through this chapter.

Topics in this chapter :  Business Intelligence management →  Business Intelligence organization roles →  Business Intelligence Business Case for BI Investments →  Business Intelligence Vendor Evaluation →  Business Intelligence Metadata Management and Program → 

Business Intelligence Competency Centre   

Business Intelligence Competency Centre (BICC) with in an enterprise is the nerve centre for providing, standardizing and supporting the technologies, processes and best practices. It can also take care of many operational tasks. The success of BICC is supported by strong governance framework and sponsorship

Topics in this chapter :  Business Intelligence Competency Centre- A preface →  Business Intelligence Competency Centre- Organization Model →  BICC Governance- Process, Technology and Data →  BICC- Competency Framework →  Business Intelligence Competency Centre- Services →  Business Intelligence Competency Centre Setup- Overview →  Business Intelligence Competency Centre- Strategize Phase →  Business Intelligence Competency Centre- Establish Phase →  Business Intelligence Competency Centre- Operate Phase → 

Business Intelligence Performance Management   

Business Intelligence helps an organization to management performance. What about managing the performance of BI itself? BI initiatives and operations, consumes effort and cost. To have an effective enterprise BI program, one needs to have BI & information management to be among top 10 priorities of an organization. There is a high rate of failure on BI programs. Therefore, a well-defined BI performance management is must for ensuring accountability and delivery. The owners, stakeholders and sponsors of BI program should know their role and how they assess or be assessed to make it happen.

Topics in this chapter :  BI Performance Management- Setting the Context →  Business Intelligence Project Management Success Metrics →  Business Intelligence Information Quality Metrics →  BI platform and system quality →  Individual Impact and Usage of BI →  BI Organizational Impact success assessment →  BI operational performance metrics → 

 

All Sections in " Enterprise Intelligence ."
 BI End-to-End →  Data Quality →  Data-Warehouse/Mart →  Data Analysis/OLAP →  Metadata Management →  Master Data Management →  KDD-Data Mining → 

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More sections in Enterprise Intelligence
Data Quality
Data-Warehouse/Mart
Data Analysis/OLAP
Metadata Management
Master Data Management
KDD-Data Mining
Additional Channels
Principles & Rules
Free Templates
Glossary
Key Performance Indicators



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