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

2. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 2 Summary  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?

3. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 3 Why study BIS? http://www.redbooks.ibm.com/redbooks/pdfs/sg245252.pdf

4. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 4 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

5. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 5 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

6. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 6 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

7. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 7 Steps in Developing and Implementing BIS  Get support by starting at the very top of the company  Appoint a chief BI Officer  Select an experienced team to develop and implement the system  Develop the system to produce the desired results  Select the appropriate software tools that meet decision makers’ needs  Determine a proper organisation to acquire, understand and disseminate appropriate BI  Develop BIS applications  Focus on transforming decisions into action Thierauf (2001) Effective Business Intelligence Systems, Quorum Books

8. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 8 Current BIS applications Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall

9. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 9 Current BIS applications Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall

10. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 10 Current BIS applications Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall

11. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 11 Legality, Privacy and Ethics in 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?

12. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 12 Typical Nonintegrated Information Architecture i 2 Supply ChainOracle Financials Oracle Financial DW Marketing DW Supply Chain Data Mart Subset Non-Architected Data Marts Siebel CRM3 rd Party Data Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall

13. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 13 Future of Data Warehousing: Federated Integrated Information Architecture Federated Financial DW Federated Marketing DW Federated Supply Chain Data Mart Subset Non-Architected Data Marts i 2 Supply ChainOracle Financials Siebel CRM3 rd Party Data Common Data Staging Area Marakas, G. (2002) Modern Data Warehousing, Mining and Visualization, Prentice Hall

14. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 14 Preparing for the Exam Section A: Concepts  Definition, description, explanation, example Section B: Applications  Example application, explanation Section C: Case Study Analysis  Use Decision support framework for BIS  Driving component  User  Supporting decision making  Identifying business intelligences solutions and opportunities  Systems development

15. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 15 Topics Summary Concepts  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

16. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 16 Topics Summary Concepts (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

17. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 17 Topics Summary Technologies  OLAP and multidimensional analysis  Modelling  Quantitative-centred  Descriptive statistics  Time series forecasting  Decision-centred  Decision trees  Influence diagrams

18. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 18 Topics Summary Technologies (cont)  Data mining, Text Mining, Web Mining or Knowledge Discovery  Classification  Association  Sequencing  Clustering

19. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 19 Exam  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.

20. 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;

21. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 21 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;

22. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 22 Exam 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/IM S3001RevisionBIApplicationsToolsandTehcnologies.html http://sparrow10.parc.xerox.com:8000/sparrow_2.0/pages/IM S3001RevisionBIApplicationsToolsandTehcnologies.html  http://sparrow10.parc.xerox.com:8000/sparrow_2.0/pages/IM S3001Revision_1.html http://sparrow10.parc.xerox.com:8000/sparrow_2.0/pages/IM S3001Revision_1.html  Post trial answers on Sparrow Web for comments  http://sparrow10.parc.xerox.com:8000/sparrow_2.0/pages/sh ared_document_213.html#sparrow http://sparrow10.parc.xerox.com:8000/sparrow_2.0/pages/sh ared_document_213.html#sparrow  Note: Use of Sparrow Web is subject to lawful and ethical use

23. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 23 Exam 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!

24. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1, 2004 24 Questions? Jocelyn.sanpedro@sims.moansh.edu.au School of Information Management and Systems, Monash University T1.28, T Block, Caulfield Campus 9903 2735