Session01_Introduction(3)

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

Info iconThis preview shows pages 1–9. Sign up to view the full content.

View Full Document Right Arrow Icon
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
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
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
Background image of page 2
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
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
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
Background image of page 4
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
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
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
Background image of page 6
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
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
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
Background image of page 8
Image of page 9
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 02/11/2012 for the course BUAD 497 at USC.

Page1 / 32

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

This preview shows document pages 1 - 9. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online