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IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004
Summary and RevisionSummary and Revision
Week 13Dr. Jocelyn San PedroSchool of Information
Management & SystemsMonash University
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 2
SummarySummary What is BI? What is BIS? Why study BIS? What are benefits/impacts of using BIS? What are necessary steps to developing and
implementing BIS? What are current BIS applications? Legality, Privacy and Ethics in BIS? What lies ahead?
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 3
Why study BIS?Why study BIS?
http://www.redbooks.ibm.com/redbooks/pdfs/sg245252.pdf
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 4
Why Study BIS?Why Study BIS?Business Analyst – $35/hr Planning and forecasting Financial modelling Data extraction and analysis Reporting on sales and marketing trends Reporting on KPIs
www.mycareer.com.au
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 5
Why study BIS?Why study BIS?Fraud analyst – $52,000+ highly analytical role requiring you to play a key
part in the early detection and minimisation of fraud
interrogate data from a number of sources through the usage of SQL, SAS and other systems in order to identify trends or similarities that have the potential to help detect fraud earlier
collate reports on fraud activity to present to various internal and external parties,
advanced Excel skills are also essential as well as strong business savvy and verbal communication skills
www.mycareer.com.au
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 6
Why Study BIS?Why Study BIS?Marketing Data Analyst - $55,000+ highly numeric individual review and analyse data to support marketing
initiatives verify data integrity, test assumptions and
validate analytical results contribute to the development and success of
major marketing campaigns database marketing, data manipulation and
campaign management sound data warehousing skills SPSS, SQL, or Business Objects
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 7
Steps in Developing and Steps in Developing and Implementing BISImplementing BIS1. Get support by starting at the very top of the
company2. Appoint a chief BI Officer3. Select an experienced team to develop and
implement the system4. Develop the system to produce the desired results5. Select the appropriate software tools that meet
decision makers’ needs6. Determine a proper organisation to acquire,
understand and disseminate appropriate BI7. Develop BIS applications8. Focus on transforming decisions into action
Thierauf (2001) Effective Business Intelligence Systems, Quorum Books
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 8
Current BIS applicationsCurrent BIS applications
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
Types of Data Mined in 2001
Series1 14% 14% 17% 8% 7% 3% 2% 1% 16% 18%
w eb clickstream
(45)
w eb content
(44)text (55)
know ledge bases (26)
XML data (24) images (11)
audio/video (5)
CAD/CAM data (3)
time series (53)
other complex data (59)
Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 9
Current BIS applicationsCurrent BIS applications
0%
2%
4%
6%
8%
10%
12%
14%
Areas of Data Mining in 2002
Series1 13% 8% 11% 10% 1% 11% 6% 4% 4% 6% 6% 6% 2% 8% 5%
Banking (56) Genetics
Direct Marketing eBiz
Entertainment (3)
Fraud Detection
(46)
Insurance (27) Investing Mfg.
Pharmaceuticals (24)
Retail (27)Science
(25)Security
(8) Telecom Other (23)
Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 10
Current BIS applicationsCurrent BIS applications
0%
2%
4%
6%
8%
10%
12%
14%
Current Data Mining Activities - Mid-Year 2002
Series1 13% 5% 7% 9% 2% 8% 6% 3% 5% 5% 6% 8% 2% 3% 9% 7% 1%
Banking (77) Genetics
Direct Marketing
(42)eBiz(53)
Entertainment (10)
Fraud Detection
(51)
Insurance (36)
Stocks (17) Mfg. (28)
Pharmaceuticals (31)
Retail (36)
Scientif ic data (51)
Security (14)
Supply Chain (21)
Telecom (56)
Other (44) None (9)
Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 11
Legality, Privacy and Ethics Legality, Privacy and Ethics in BISin BIS Who is responsible for a wrong decision
outcome? Shared responsibility in human-computing
environment Who has access to enterprise-wide data? Who owns the data (knowledge) in the
knowledge base? Should experts get paid for provision of their
knowledge?
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 12
Typical Nonintegrated Typical Nonintegrated Information ArchitectureInformation Architecture
i2 Supply Chain Oracle Financials
Oracle Financial
DW
Marketing DW
Supply Chain
Data Mart
Subset Non-Architected Data Marts
Siebel CRM 3rd Party Data
Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 13
Future of Data Warehousing: Future of Data Warehousing: Federated Integrated Information Federated Integrated Information ArchitectureArchitecture
Federated Financial
DWFederatedMarketing
DW
FederatedSupply Chain
Data Mart
Subset Non-Architected Data Marts
i2 Supply Chain Oracle Financials Siebel CRM 3rd Party Data
Common Data Staging
Area
Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 14
Preparing for the ExamPreparing for the ExamSection A: Concepts Definition, description, explanation, exampleSection B: Applications Example application, explanationSection C: Case Study Analysis Use Decision support framework for BIS
Driving component User Supporting decision making Identifying business intelligences solutions and
opportunities Systems development
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 15
Topics SummaryTopics SummaryConcepts Business Intelligence Business Intelligence Systems Decision Making and Decision Makers Evolution of BIS Decision Support Framework for BIS
Driving component - data, model, knowledge, communications, group
User or Decision Maker Technology How they support decision making
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 16
Topics SummaryTopics SummaryConcepts (cont) Benefits/Impact of using BIS
Improve effectiveness and efficiency of decision making
Knowledge sharing …
Systems Development Approaches (SDLC, prototyping) Essential elements to building BIS
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 17
Topics SummaryTopics SummaryTechnologies OLAP and multidimensional analysis Modelling
Quantitative-centred Descriptive statistics Time series forecasting
Decision-centred Decision trees Influence diagrams
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 18
Topics SummaryTopics SummaryTechnologies (cont) Data mining, Text Mining, Web Mining or
Knowledge Discovery Classification Association Sequencing Clustering
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 19
ExamExam
reading time: 10 min; working time: 3 hours; 60% of the subject mark; some choice inside three sections
Make sure you : answer the question you are asked; do not answer more (or less) than you need
to.
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 20
Exam (cont)Exam (cont) closed book; no need for calculators; Read instructions carefully allocate time according to the number of
points/marks; attempt all sections;
start with point form then expand;
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 21
Exam (cont)Exam (cont) Looking for:
knowledge, understanding of concepts and applications;
ability to reason from concepts; ability to apply theoretical knowledge; knowledge of some of the literature ability to illustrate your answer with
examples and references to readings/theories;
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 22
Exam PreparationExam Preparation Read lecture notes; Do tutorial exercises; Talk to your friends; Try sample exam Use Sparrow Web for online discussion
http://sparrow10.parc.xerox.com:8000/sparrow_2.0/pages/IMS3001RevisionBIApplicationsToolsandTehcnologies.html
http://sparrow10.parc.xerox.com:8000/sparrow_2.0/pages/IMS3001Revision_1.html
Post trial answers on Sparrow Web for comments http://sparrow10.parc.xerox.com:8000/sparrow_2.0/p
ages/shared_document_213.html#sparrow Note: Use of Sparrow Web is subject to lawful
and ethical use
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 23
Exam PreparationExam Preparation Preparing for IMS3001 Exam Table – for
individual revision Email to your lecturer for appointment if you
need extra consultation Consultation hours (lecturer only) 30 mins/student or 1 hour per group of max
of 4 students Anytime from 9:00 am – 3:00 pm M-F; June 1-
4; June 14-18 Good luck!
IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 24
Questions?
[email protected] of Information Management and
Systems, Monash UniversityT1.28, T Block, Caulfield Campus
9903 2735