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Business Intelligence:Big Results with a Small
Budget
Business Intelligence:Big Results with a Small
Budget
Jeff PittgesAssistant ProfessorRadford University
www.radford.edu/[email protected] / 540-831-
5175
Jeff PittgesAssistant ProfessorRadford University
www.radford.edu/[email protected] / 540-831-
5175
2
Industry Background
3
Going Global
The following slides were presented
by Paul Grossman at the
February 2009 NCTC Technology & Toast
ExportVirginia.org
4
THE REAL WORLD
POPULATION
Source: www.world mapper.org
8
What If
• You could view your business like these maps of the world?
• You could identify trends and compare your business to your competitors with respect to the market?
• You could see opportunities?
QuickTime™ and aTIFF (Uncompressed) decompressor
are needed to see this picture.
9
Business Intelligence
A set of tools and techniques
that help people and companies
make better decisions
10
2009 Gartner Prediction
Because of lack of information, processes,
and tools, through 2012, more than 35 per-
cent of the top 5000 global companies will
regularly fail to make insightful decisions
about significant changes in their business
and markets.
http://en.wikipedia.org/wiki/Business_intelligence
11
BI Technologies
Data Warehousing OLAP Executive Dashboards Data Mining Decision Support Systems (DSS) Expert Systems
12
Drowning in DataStarving for Information
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Data Warehousing
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Warehouses Report the Facts
• Who
• What
• When
• Where
• Why
15
OnLine Analytical ProcessingOnLine Analytical Processing
The process of slicing and dicing data:
– Drill Down
– Drill Up
– Drill Across
OLAP
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OLAP Example
Analyze quarterly sales
– Expected 10% increase in revenue
– Realized a 9.5% increase
– Why did quarterly revenue fall short of expectations?
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Investigate the Facts
• Why were sales short of expectations?
• When – Compare sales in Q1 2005 to Q1 2006
• What -- Product hierarchy
• Who -- Customers
18
WhenTime Dimension
Year
Quarter
Month
Week
Day
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Time Dimension
2005 Q1
Q2
Q3
Q4
Q1
Q2
2006
Tim
e
20
Sales by Quarter
Q1 ‘05 Q1 ‘06
$100
$109.5
9.5%
Quarter
21
Drill Downinto Department
- Clothes- Electronics- Books
WhatProduct Hierarchy
Category
Brand
Product
Department
22
Product Dimension
2005 Q1
Q2
Q3
Q4
Q1
Q2
2006
Tim
e
Product
BooksElectronicsClothes
23
Sales By Department
Clothes Electronics Books
10%
10.3% 10.4% 8.7%
Q1‘06
Q1‘06
Q1‘06
Dept
24
Drill Down into BooksProduct Hierarchy
Category
Brand
Product
Department
25
Product Dimension
2005 Q1
Q2
Q3
Q4
Q1
Q2
2006
Tim
e
Product
BooksElectronicsClothes
26
Sales by Book Category
10%
Novels
10.6%
Textbooks
Q1‘06
6.8%
Q1‘06
Category
27
Who
• Age group
• Gender
• Marital status
• Occupation
• Annual income
Customer Dimension
28
Drill Down into Age Group
10%
25 - 45
10.9%
Q1‘06
4.2%
Q1‘06
Under 25 46 - 65
10.4%
Q1‘06
Over 65
11.1%
Q1‘06
Age
29
Customer Dimension
2005 Q1
Q2
Q3
Q4
Q1
Q2
2006
Tim
e
Product
BooksElectronicsClothes
Under 25
Over 65
25 - 45
46 - 65
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Analysis
• Sales of textbooks to customers under 25 (students) fell well short of expectations
• What should the company do?
• Increase advertisements and incentives for textbooks to students
31
Executive Dashboards
32
Monitoring Your Business
• Management by Objective (MBO)
– Sales -- revenue targets
– Customer Support -- customer satisfaction
• Key Performance Indicators (KPI)
– Measure performance
• Dashboard Displays KPIs
– Color coded Green Yellow Red
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Example Dashboard
34
Clicking on Virginia drills down toInventory by City
Alexandria Richmond Roanoke
InventoryLevel
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Data Mining
Knowledge Discovery
Identify patterns in your data
36
Market Basket AnalysisIdentify items purchased together
37
Data Mining Tasks
• Predict – Churn Analysis – Increase response rate
• Estimate – Customer satisfaction and renewal rate
• Classify – Fraud Detection
38
Business Intelligence Tools
39
Enterprise Architecture
ProductionSystems
Extract Load
Transform
DataWarehouse
Reporting OLAP GUI
DataMining
ExternalData
Sources
40
Open Source Technologies
Extract LoadTransform
DataWarehouse
DataMining
ReportingJasperSoft
Reporting
Warehouse
MySQLMining
Weka
PentahoData Integration (ETL)
41
42
Service Providers
Software as a Service (SaaS)
On Demand
Hosted Applications
43
Attaain Inc.Active Intelligence for Strategic Advantage™
Competitive Intelligence Real-time intelligence
Companies, people and markets Easy to use, web-based system Customized tracking according to your
company’s lines of business Online dashboard Automated e-mail alerts Extensive web marketing analytics Cost-effective month-to-month subscription
44
RU Can Help You
• Six Concentrations
• Internships and Permanent positions
• Small Project Support Center
Computer Science Information SystemsDatabase
Software Engineering Networking Web Development
45
References
• Attaain
• JasperSoft
• MySQL
• Pentaho
• Weka
46
References
Attaain http://www.attaain.com/
JasperSoft http://www.jaspersoft.com/
MySQL http://www.mysql.com/
Pentaho http://www.pentaho.com/
Wekahttp://www.cs.waikato.ac.nz/ml/weka/
