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IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 Summary and Summary and Revision Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash University

IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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Page 1: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004

Summary and RevisionSummary and Revision

Week 13Dr. Jocelyn San PedroSchool of Information

Management & SystemsMonash University

Page 2: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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?

Page 3: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 3

Why study BIS?Why study BIS?

http://www.redbooks.ibm.com/redbooks/pdfs/sg245252.pdf

Page 4: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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

Page 5: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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

Page 6: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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

Page 7: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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

Page 8: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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

Page 9: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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

Page 10: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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

Page 11: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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?

Page 12: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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

Page 13: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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

Page 14: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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

Page 15: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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

Page 16: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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

Page 17: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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Topics SummaryTopics SummaryTechnologies OLAP and multidimensional analysis Modelling

Quantitative-centred Descriptive statistics Time series forecasting

Decision-centred Decision trees Influence diagrams

Page 18: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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Topics SummaryTopics SummaryTechnologies (cont) Data mining, Text Mining, Web Mining or

Knowledge Discovery Classification Association Sequencing Clustering

Page 19: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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.

Page 20: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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;

Page 21: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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;

Page 22: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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

Page 23: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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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!

Page 24: IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 Summary and Revision Week 13 Dr. Jocelyn San Pedro School of Information Management & Systems Monash

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Questions?

[email protected] of Information Management and

Systems, Monash UniversityT1.28, T Block, Caulfield Campus

9903 2735