This document provides an overview of business intelligence (BI). It defines BI as collaborating people and technology to enhance decision making by delivering the right insights at the right time. Companies deploy BI to gain faster customer segmentation, understand customer behavior, reduce question response time, and make even simple decisions using integrated data. The document outlines the evolution of BI from basic reporting to predicting and operationalizing insights. It also shows how reports have evolved over time and presents the Gartner BI matrix and typical BI system architecture. Finally, it provides a real-world example of a lifetime segmentation report generated using BI tools and processes.

1. Prepared by
Amr Ali

2. Agenda
 Introduction
 BI Definition
 Why Companies Deploy BI
 Business Insights Evolution
 Reports Evolution
 BI Gartner Matrix
 BI System Architecture
 BI & ETL Tools
 Real Use Case

3. Introduction
 Information is a very powerful asset that can
provide significant benefits to any organization.
 Organizations have vast amounts of data but is
difficult to access and use.
 Data is in many formats, exists on different
platforms, and resides in different file and
database structures.

4. Introduction
 In order to make a valuable decisions, an
organization has to write hundreds of programs to
extract, prepare, and integrate data for analysis
and reporting.
 Instead of doing that you need to implement data
warehouse and BI system to get more insights
from the data you own.
 As BI tools help you do extract, transform, load
and integrate heterogeneous data sources into
your DWH easily and efficiently.

5. Business Intelligence
Definition
Business Intelligence is about delivering the right
insights to the right people at the right time in order
to enhance decision making process.
BI is neither a product nor a system.
BI is the collaboration of People and Technology to
help stakeholders make better decisions.

6. Why Companies Deploy BI
Lots of promises
 Faster and Better Customers Segmentation.
 Understand the effects of market/ product/ service mix on
customer behavior.
 Reduce time to answer business questions.
 Integrated data is more useful than data in isolation.
 Even simple decisions: buy / not buy / discount often need
lots of Information that is easy to interpret and represent.

7. Business Insights Evolution
 Stage 1 – Reporting : What happened?
 Static reports
 Stage 2 – Aggregating : Why did it happen?
 Adhoc Queries
 Stage 3 – Analyzing : What is happening?
 OLAP
 Stage 4 – Predicting : What will happen?
 Data Mining
 Stage 5 – Operationalizing : What do I want to happen?
 Business Intelligence

8. Reports Evolution

9. BI Gartner Matrix

10. BI System Architecture

11. BI & ETL Tools
Where/How to start

12. Real Use Case
Lifetime segment Report
 Request : Unique users’ life cycle per service
 Requested Raw Data Format

13. Real Use Case
Lifetime segment Report
 Request : Unique users’ life cycle per service
 Data after BI Ready Format

14. Real Use Case
Lifetime segment Report - Final Report

15. Questions?