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1 BI527: Business Intelligence fr Management Curse Outline COURSE INFORMATION Divisin: Marketing and Behaviural Science Term/perid: 4 Instructr: Dr. Chunhua Wu Phne: Office hurs: Wed 5:00-5:00pm & by appintment Sectin number: 001 Teaching Assistant: Phne: Office hurs: Class meeting times: Mn 6:00-9:30pm Curse duratin: t Classrm lcatin: Angus 132 Pre-requisites: basic knwledge f statistics Tutrials / labs: Curse website: BRIEF COURSE DESCRIPTION "Fr every leader in the cmpany, nt just fr me, there are decisins that can be made by analysis. These are the best kinds f decisins! They are fact based decisins. " Jeff Bezs The great amunt f available internal and external data has created unprecedented challenges as well as pprtunities fr tday s enterprises. Firms are increasingly relying n business intelligence in the decisin prcess t stay cmpetitive in the market. The ability t understand the rle f analytics in identifying business prblems and seizing pprtunities, and further t apply data analytics t enhance business perfrmance has als becme a key asset fr managers. This curse prvides a cmprehensive intrductin t the cncepts, techniques and applicatins f business intelligence (BI). The class will equip students with a managerial verview f business intelligence, a basic understanding f statistics and ecnmics fundatins in BI, a general expsure t real wrld BI applicatins and trends, and hands-n practices f BI sftwares. The curse cnsists f a mix f lectures, case discussins, sftware tutrials, in-class assignments, invited guest sessins and a team prject. All class sessins will be interactive, requiring yu t actively participate in and cntribute t the class

2 BI527: Business Intelligence fr Management Curse Outline LEARNING OBJECTIVES This curse cntains multiple learning bjectives: T intrduce basic business intelligence terminlgy T prvide yu with a managerial verview f data driven decisin making T intrduce real-wrld business intelligence examples acrss different industries T reveal pprtunities in imprving business perfrmances with business analytics T train yur skill in using business intelligence sftware T expse yu t trends in business intelligence T practice yur management skills in business intelligence prject COURSE MATERIALS & REQUIREMENTS Reading Materials: The fllwing textbks are recmmended as general readings t understand business intelligence. Hwever, the lectures will nt exactly fllw the structure f any bks. Instead, much mre custmized materials will be used. Data Science fr Business: What Yu Need t Knw abut Data Mining and Data- Analytic Thinking, by Prvst & Fawcett, O'Reilly, Science-Business-data-analytic-thinking/dp/ Business Intelligence: A Managerial Perspective n Analytics, by Sharda, Delen and Turban, Pearsn, Perspective-Analytics/dp/ The fllwing bks are highly recmmended fr thse wh have a deep interest in business analytics. Predictive Analytics: The Pwer t Predict Wh Will Click, Buy, Lie r Die, by Eric Siegel, Wiley, 2012 The Signal and the Nise: Why S Many Predictins Fail But Sme Dn t, by Nate Silver, Pearsn, 2012 Data Mining Techniques: Fr Marketing, Sales and Custmer Relatinship Management, by Linff and Berry, Wiley,

3 BI527: Business Intelligence fr Management Curse Outline Big Data: A Revlutin that Will Transfrm Hw We Live, Wrk and Think by Mayer- Schnberger and Cukier, HMH, 2012 Other reading materials will be updated n the curse website and Cnnect. Other Learning Resurces: Technlgy Requirements: A laptp with tw sftwares installed: Tableau and RapidMiner Activity Fees: nne ASSESSMENT SUMMARY Participatin 10% Assignments 32% Grup Prject 30% Tests/Exam 28% Class Participatin (10%) Yu are expected t attend all the classes and actively participate in class discussins. Class participatin accunts fr 10% f yur final curse grade, and is used t reward students fr activating the in-class learning envirnment. Yu will receive at mst 7% if yu miss ne class, and at mst 4% if yu miss tw classes. Accrding t the schl plicy, yu will be withdrawn frm the curse if yu miss mre than tw classes fr reasns ther than illness. Participatin pints will be deducted if yu are late t the classrm. In-class Grup Assignments (32%) Yu are expected t finish a mini in-class grup assignment in each f the first fur classes, with each assignment accunting fr 8%. The assignments are directly relevant t the curse cntent and are designed t allw yu t link the lecture cntents with real-wrld practices and - 3 -

4 BI527: Business Intelligence fr Management Curse Outline applicatins. The assignments mainly serve fr the purpse f learning by ding, rather than testing yur knwledge f the curse cntents. Grup Prject (30%) Yu are expected t finish a cmprehensive grup prject thrughut the curse. The purpse f this cmpnent is t develp yur skills in planning and managing a business intelligence prject. The prject will mst likely cver a wide range f cntents discussed in the lectures and the inclass grup assignments culd serve as the building blcks. Yu will need t present yur prject in the last class and yu need t turn in a final prpsal that utlines a strategic plan t utilize data available t help making better business decisins thrugh business intelligence, fr a real r hypthetical business client. The prpsal shuld cntain in detail the fllwing cmpnents: A. Backgrund Please describe the backgrund f the business client. Fr which unit f the business yu will help develp a business intelligence system, and fr what decisin prblems?! Example: we help design a business intelligence system/prcess t help the marketing department at withings.cm with the decisin f sending prmtinal cupns t custmers. What is the current practice with such decisin prblems? Hw wuld business intelligence enhance decisin making? B. Dashbard/Result Presentatin Please prvide the dashbard design fr the final presentatin f the business intelligence results Please explain the philsphy and functinality in such dashbard design Examples will be demnstrated in class C. Data Requirement Which databases/tables are needed? What are the variables yu need t extract? - 4 -

5 BI527: Business Intelligence fr Management Curse Outline Please prvide a csv file with sme sample recrds (>50 recrds), real data wuld be greatly appreciated. D. Data Analytics Which data summaries and visualizatin are mst suitable? Use yur sample data file t perfrm the data summaries and visualizatins in Tableau Which advanced data analytic methds are needed? Use RapidMiner t perfrm the prpsed analytics using yur sample data file E. Cnclusin Please summarize the advantages and limitatins f yur business intelligence design Please cmment n the issues/details in the implementatin phase Any ther cmments F. Appendix Sample csv data file Tableau analysis file RapidMiner analysis file Final Exam (28%) The final exam is t access individual perfrmance regarding the understanding f basic cncepts and applicatins discussed in the lectures. In terms f frmat, it cnsists f multiple-chice questins and a few essay questins. Details will be annunced later

6 BI527: Business Intelligence fr Management Curse Outline SCHEDULE Week CLASS TOPICS ACTIVITIES / READINGS WHAT S DUE Week 1 March 7 Business Intelligence Intrductin Business Dashbards Assignment 1: Business dashbard Week 2 March 14 Descriptive Analytics: Data Summary and Visualizatin Tableau Practices Tableau tutrial Assignment 2: Data visualizatin in Tableau Week 3 March 21 Predictive Analytics: Decisin Trees, Classificatins and Regressins RapidMiner tutrial Assignment 3: Custmer predictive analytics Custmer Relatinship Managment Week 4 April 01 Prescriptive Analytics: Assciatins and Clustering Recmmender Systems Assignment 4: Market basket analytics Week 5 Business Intelligence Practices Guest speakers April 04 Business Analytics Trends: Web Analytics and Text Mining Grup prject presentatin Week 6 Exam Week Prject reprt April 11 April 13 Final Exam Nte: March 28, Mnday is Easter hliday break and we d nt have the regular class. A make up class has been scheduled n April 01, Friday at 12:30-4:00pm, in class rm HA 132. SOFTWARE We will learn tw BI sftwares thrughut the curse: Tableau and RapidMiner. Yu are required t install the sftwares and take tutrials befre the class. Tableau Dwnlad url: desktp versin A student evaluate license will be sent t yu a week befre the first class Tutrials t cmplete befre class - 6 -

7 Other resurces BI527: Business Intelligence fr Management Curse Outline please learn the getting started vides befre March 14. n tableau.cm RapidMiner Dwnlad url: RapidMiner Studi cmmunity versin Free fr the basic features, 14-day trial fr advanced features Tutrials t cmplete befre class: please learn the getting started vide befre March 21. Other resurces n rapidminer.cm - 7 -

Course duration: to Classroom location: Angus 132

Course duration: to Classroom location: Angus 132 COURSE INFORMATION Division: Marketing and Behavioural Science Term/period: 4 Instructor: Dr. Chunhua Wu Email: chunhua.wu@sauder.ubc.ca Phone: 604-827-2266 Office hours: Wed 4:00-5:30pm & by appointment

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