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Business Intelligence 
Conceptual Introduction 
By Ahmed Rami Elsherif
Introduction 
• Business intelligence (BI) generally refers to the 
process of transforming the raw data companies 
collect from their various operations into usable 
information. 
• BI software comprises specialized computer 
programs that allow an enterprise to easily 
aggregate, manipulate, and display data as 
information that can be acted upon in the decision 
making process.
Simple Example 
Raw Data e.g. 
A sales/Cost 
transaction 
Introduced in the 
enterprise ERP 
Information e.g. 
A sales/Cost trend 
graph generated by BI 
Application 
Knowledge e.g. 
A sales/Cost cause 
and effect analysis of 
information generated 
by the BI Application
Current Situation & Challenges 
• Companies are flood with raw data stored in their 
transactional Information systems but lack the tools 
to exploit it into information and knowledge. 
• Roughly 80 % of Business Analysis time is spent on 
collection, consolidating, and presenting the 
information and 20 % on the real analysis and 
decision making. 
• Semantics,Terminology and Metrics are different and 
ambiguous a cross the companies departments and 
units.
Solution Overview 
BI Application 
•Read data from 
transactional 
systems. 
•Transform,aggreg 
ate, and present 
information. 
•Deliver the 
information for the 
decision makers in 
time and quality. 
INPUT 
SAP R/3 
Oracle 
JD Edwards 
Other Applications 
OUTPUT 
Reports 
Charts and Graphs 
Costume Queries 
Mail Alerts
Advantages 
• Increase speed,accuracy and quality of 
Information. 
• Eliminate data collecting tasks and 
concentrate in analysis and decision making. 
• Cultivate a culture of curiosity and proactive 
questioning. 
• Uniform presentation and calculation 
procedures.
Project Success Factors 
• Guarantee the commitment of the higher 
management for the BI project. 
• Involve the users in the planning and conception 
phase or the project. 
• Establish a culture of measurement. 
• Make the system as easy to use as possible. 
• Empower the system with flexibility and adaptability 
to answer new requirements that can come up.
Conclusion 
A proposed formula to estimate the value of 
information in the enterprise is: 
The Value of Information ~ Users2 X Business Area 
BI Portals are very effective, direct means of 
increasing both variables of that formula reason 
for which companies have to pay close attention 
to their analysis, design, development and 
implementation.

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Business Intelligence - Conceptual Introduction

  • 1. Business Intelligence Conceptual Introduction By Ahmed Rami Elsherif
  • 2. Introduction • Business intelligence (BI) generally refers to the process of transforming the raw data companies collect from their various operations into usable information. • BI software comprises specialized computer programs that allow an enterprise to easily aggregate, manipulate, and display data as information that can be acted upon in the decision making process.
  • 3. Simple Example Raw Data e.g. A sales/Cost transaction Introduced in the enterprise ERP Information e.g. A sales/Cost trend graph generated by BI Application Knowledge e.g. A sales/Cost cause and effect analysis of information generated by the BI Application
  • 4. Current Situation & Challenges • Companies are flood with raw data stored in their transactional Information systems but lack the tools to exploit it into information and knowledge. • Roughly 80 % of Business Analysis time is spent on collection, consolidating, and presenting the information and 20 % on the real analysis and decision making. • Semantics,Terminology and Metrics are different and ambiguous a cross the companies departments and units.
  • 5. Solution Overview BI Application •Read data from transactional systems. •Transform,aggreg ate, and present information. •Deliver the information for the decision makers in time and quality. INPUT SAP R/3 Oracle JD Edwards Other Applications OUTPUT Reports Charts and Graphs Costume Queries Mail Alerts
  • 6. Advantages • Increase speed,accuracy and quality of Information. • Eliminate data collecting tasks and concentrate in analysis and decision making. • Cultivate a culture of curiosity and proactive questioning. • Uniform presentation and calculation procedures.
  • 7. Project Success Factors • Guarantee the commitment of the higher management for the BI project. • Involve the users in the planning and conception phase or the project. • Establish a culture of measurement. • Make the system as easy to use as possible. • Empower the system with flexibility and adaptability to answer new requirements that can come up.
  • 8. Conclusion A proposed formula to estimate the value of information in the enterprise is: The Value of Information ~ Users2 X Business Area BI Portals are very effective, direct means of increasing both variables of that formula reason for which companies have to pay close attention to their analysis, design, development and implementation.