msmesb: issues of big data in business education

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Department of Business Information & Analytics MSMESB: Issues of Big Data in Business Education Kellie Keeling University of Denver

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MSMESB: Issues of Big Data in Business Education. Kellie Keeling University of Denver. Motivation. MS Business Analytics students have 2 electives Asked for summer VBA/VB programming course and ….. Asked a “Big Data” course I am developing a Spring Course starting March 24th - PowerPoint PPT Presentation

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Page 1: MSMESB: Issues of Big Data in Business Education

Department of Business Information & Analytics

MSMESB: Issues of Big Data in Business EducationKellie Keeling

University of Denver

Page 2: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Motivation• MS Business Analytics students have 2

electives • Asked for summer VBA/VB programming course and

…..• Asked a “Big Data” course

• I am developing a Spring Course starting March 24th• Complex Data Analytics (“Big Data”)• Only introductory stat as prerequisite• (stat minors, majors and MS students!!)

Page 3: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

What Now???

Page 4: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Search for Syllabi

https://docs.google.com/spreadsheet/ccc?key=0AtA-8H81STQxdGstU3ZZRHZha3gtOWljYy1uQWRpbmc&usp=drive_web#gid=0

Page 5: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Topics Covered

Page 6: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Goals• Provide lots of application examples• Advisory Board• Capstone projects• Pardee Center (International Issues)

• Introduce tools/topics haven’t covered in previous classes• Text analytics• Network analysis • Social web

Page 7: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Mining Social Web• Twitter (trending topics and more)• Facebook (fan pages and friendships)• Linked In(clustering colleagues, faceting job titles)• Web Pages (NLP)• Mailboxes (who talking to who, how often, about

what)• GitHub (collaboration habits, building interest

graphs)

Page 8: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Goals• Concrete hands on examples• Python• APIs, scrape data from web

• Splunk [screenshots]• Aggregate data from multiple sources

• Network Analysis• Pajek or NodeXL?

• Modeler• SPSS Modeler, XLMINER, JMP 11??

Page 9: MSMESB: Issues of Big Data in Business Education

Splunk and Dominos

Page 10: MSMESB: Issues of Big Data in Business Education

Dashboard

Page 11: MSMESB: Issues of Big Data in Business Education
Page 12: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Goals• Concrete hands on examples• Python• APIs, scrape data from web

• Splunk • Aggregate data from multiple sources

• Network Analysis [Screenshots]• Pajek or NodeXL?

• Modeler• SPSS Modeler, XLMINER, JMP 11??

Page 13: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Network Analysis – MS Patents

Page 14: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Goals• Concrete hands on examples• Python• APIs, scrape data from web

• Splunk • Aggregate data from multiple sources

• Network Analysis• Pajek or NodeXL?

• Modeler• SPSS Modeler, XLMINER, JMP 11??

Page 15: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Application Example Goals

• Looking for examples that require aggregating data from multiple sources!• When should Vail Resorts turn on snow maker? • Biggest expense by far!!• Takes an hour to get water to top of hill. • Based on temp, humidity/barometric pressure• How much snow do need?

• Forecast of # skiers (RFID tags in passes)• Current snow levels

Page 16: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Goals

• Applications• Innovations in Microsoft Patent Data• Real estate data on every household• Army personnel transactions• Ancestry.com (20 petabytes of active data with

500,000 active users)• Walmart 20TB data• B Cycle Bike Sharing

Page 17: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Resources

• Mining Social Web• Russell, O’Reilly

• Python for Data Analysis• McKinney, O’Reilly

• How to Measure Anything: Finding the Value of Intangibles in Business• Hubbard, Wiley

Page 18: MSMESB: Issues of Big Data in Business Education

Department of Business Information & AnalyticsDepartment of Business Information & Analytics

Thank you

Kellie [email protected]