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Department of Business Information & Analytics
MSMESB: Issues of Big Data in Business EducationKellie Keeling
University of Denver
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!!)
Department of Business Information & AnalyticsDepartment of Business Information & Analytics
What Now???
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
Department of Business Information & AnalyticsDepartment of Business Information & Analytics
Topics Covered
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
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)
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??
Splunk and Dominos
Dashboard
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??
Department of Business Information & AnalyticsDepartment of Business Information & Analytics
Network Analysis – MS Patents
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??
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
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
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
Department of Business Information & AnalyticsDepartment of Business Information & Analytics
Thank you
Kellie [email protected]
