Title: Business Intelligence: Big Results with a Small Budget
1Business IntelligenceBig Results with a Small
Budget
- Jeff Pittges
- Assistant Professor
- Radford University
- www.radford.edu/jpittgesjpittges_at_radford.edu /
540-831-5175
2Industry Background
3Going Global
The following slides were presented by Paul
Grossman at the February 2009 NCTC Technology
Toast
ExportVirginia.org
4THE REAL WORLD
POPULATION
Source www.world mapper.org
5THE REAL WORLD
CONTAINER PORTS
Source www.world mapper.org
6THE REAL WORLD
HIGH TECH EXPORTS1990
Source www.world mapper.org
7THE REAL WORLD
HIGH TECH EXPORTS 2002
Source www.world mapper.org
8What 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?
9Business Intelligence
A set of tools and techniques that help people
and companies make better decisions
102009 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
11BI Technologies
- Data Warehousing
- OLAP
- Executive Dashboards
- Data Mining
- Decision Support Systems (DSS)
- Expert Systems
12Drowning in DataStarving for Information
13Data Warehousing
14Warehouses Report the Facts
15OnLine Analytical Processing
OnLine Analytical Processing
OLAP
- The process of slicing and dicing data
- Drill Down
- Drill Up
- Drill Across
16OLAP Example
- Analyze quarterly sales
- Expected 10 increase in revenue
- Realized a 9.5 increase
- Why did quarterly revenue fall short of
expectations?
17Investigate the Facts
- Why were sales short of expectations?
- When
- Compare sales in Q1 2005 to Q1 2006
- What -- Product hierarchy
- Who -- Customers
18When
Time Dimension
Year
Quarter
Month
Week
Day
19Time Dimension
20Sales by Quarter
21What
Product Hierarchy
22Product Dimension
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23Sales By Department
24Drill Down into Books
Product Hierarchy
Department
Brand
Product
25Product Dimension
26Sales by Book Category
27Who
Customer Dimension
- Age group
- Gender
- Marital status
- Occupation
- Annual income
28Drill Down into Age Group
29Customer Dimension
30Analysis
- 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
31Executive Dashboards
32Monitoring 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
33Example Dashboard
34Clicking on Virginia drills down to Inventory by
City
35Data Mining
Knowledge Discovery
Identify patterns in your data
36Market Basket Analysis
Identify items purchased together
37Data Mining Tasks
- Predict
- Churn Analysis
- Increase response rate
- Estimate
- Customer satisfaction and renewal rate
- Classify
- Fraud Detection
38Business Intelligence Tools
39Enterprise Architecture
40Open Source Technologies
41(No Transcript)
42Service Providers
Software as a Service (SaaS)
On Demand
Hosted Applications
43Competitive Intelligence
- Real-time intelligence
- Companies, people and markets
- Easy to use, web-based system
- Customized tracking according to your
- companys lines of business
- Online dashboard
- Automated e-mail alerts
- Extensive web marketing analytics
- Cost-effective month-to-month subscription
44RU Can Help You
- Six Concentrations
-
- Internships and Permanent positions
- Small Project Support Center
45References
- Attaain
- JasperSoft
- MySQL
- Pentaho
- Weka
46References
Attaain http//www.attaain.com/
JasperSoft http//www.jaspersoft.com/
MySQL http//www.mysql.com/
Pentaho http//www.pentaho.com/
Weka http//www.cs.waikato.ac.nz/ml/weka/