Transcript MSMESB: Issues of Big Data in Business Education

MSMESB: Issues of Big
Data in Business
Education
Kellie Keeling
University of Denver
Department 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 & Analytics
What Now???
Department 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 & Analytics
Topics Covered
Department 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 & Analytics
Mining Social Web
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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 & 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??
Department of Business Information & Analytics
Splunk and Dominos
Dashboard
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 & Analytics
Network Analysis – MS Patents
Department 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 & Analytics
Application Example Goals
• Looking for examples that require
aggregating data from multiple sources!
• When should Vail Resorts turn on snow maker?
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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 & Analytics
Goals
• Applications
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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 & 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 & Analytics
Thank you
Kellie Keeling
[email protected]
Department of Business Information & Analytics