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Session01_Introduction(3)

Session01_Introduction(3) - Introduction to the Applichem...

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Introduction to the Applichem Case and Data Analysis Techniques BUAD 425 Data Analysis for Decision Making (Sections 15007 & 15009) Session 01 (01/12/12) 1
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Agenda Please complete the survey flashcard Case Assignment #1 is posted on Blackboard – See “Case Assignment > Case #1” – Participation Credits: half-page write-up of Case #1 due via Blackboard by 1pm next Thursday (1/19) Course logistics and syllabus Introduction to BUAD 425: Motivation Understand how companies organize and structure their data – Brief introduction to Data Warehouse, Star Schema, Fact vs Dimension Tables 2
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Survey Flashcard IMPORTANT: Please complete the survey flashcard I will try my best to learn all of your names by the end of the semester – For those that have already taken a course from me last semester, please add (or correct) the information that I have about you. This is my first time teaching BUAD 425. – So, any constructive comments and suggestions are always welcome! 3
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Syllabus and Course Logistics 4 Please read the entire syllabus carefully! Course E-mail Address: [email protected] Tentative Office Hours: Wed 10-12 and 1-4 – Rationale: HWs and exams are usually due on Thursday – Other preferences? Course web site on Blackboard Textbook: Course Pack @ Bookstore Instruction Methods – Lecture Case Assignments – LAB (Excel & JMP) Need MyMarshall Account! – Presentation • Grading: Case Analysis – Quizzes – Presentation – Participation Credits – Midterm & Final Academic Integrity
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Reminder: LAB #1 Next Week Need to have MyMarshall login to access the computer lab We will go over Case Assignment #1 together. Participation Credits: Please submit via Blackboard a half-page discussion of Case #1 by 1pm next Thursday (1/19) 5
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Motivation and Background Data are everywhere! – We live in a data-rich era Large amount of detailed data about corporate operations and individual customers are collected at an unprecedented rate – Example: Amazon, Google, Facebook, Twitter • Goal: How can we turn data into information and knowledge that will help us make better decision? – Learn about data analysis techniques and strategies for converting data to $ 6
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Opportunities in Data Analytics According to WSJ article on “Data Analytics/So, What’s Your Algorithm?” (1/4/12), the amount of data collected by business are grown exponentially! Knowing how to transform this data into business intelligence offers a tremendous opportunity! 7
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Knowledge Information Decision Data Data to Decision BUAD 425 – DATA ANALYSIS FOR DECISION MAKING 4 Modules – Exploratory Data Analysis – Data-Driven Finance: Pricing Real Estate via Linear Regression – Data-Driven Marketing: Online Targeting and Segmentation via Logistic Regression and Clustering – Data-Driven Operations: Optimal Allocation of Resources via Linear Programming
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Introduction to Applichem We will explore how to convert data into $ using the Applichem case (adapted from original HBS case)
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