Information Technology > PROJECT FINAL > Georgia Institute Of Technology - CS ISYE6501XISYE 6501 Course Project American Honda Motor Co., Inc (All)
ISYE 6501 – Course Project American Honda Motor Co., Inc Case Background: Just like other automotive distributors, American Honda works with a network of dealerships that offers warrantied repai... r work. This can be a significant cost for the company; therefore, American Honda uses analytics to make sure the warranty claims are accurate upon submission. To decrease warranty expense, Honda wants to create a proprietary process to surface suspicious warranty claims. Before this innovative system, it would take the staff members a week out of each month to manually identify and scrutinize claims. The wastage of time and human resources would cost more to the company. With this proprietary process, American Honda would reduce labor costs and have faster claims analysis. The company also implemented SAS* forecast server to assist with business planning to forecast usage of parts and services for future needs. This new system will not only decrease warranty expense and forecast future needs, but it will also improve customer satisfaction by using analytics to quickly evaluate customer survey data and gain insight. Case Summary: In this report, I will outline the analytics techniques and models I learned from this course that could possibly be used in the solution of this business problem. The three goals of this case are the followings: (1) Examining warranty data to make maintenance efficient (2) Predict the volume of customers coming into the dealerships (3) Use service data to forecast future needs to improve customer satisfaction Details of Models Could be Used: Identifying suspicious warranty claim accurately Step1 Given: Historical customer data and historical warranty claim data, including predictive factors such as date of purchase, Customer addresses (multiple claims leading to the same address), duplicate claims(Y/N; A service center submits duplicate claim for the same VIN), Prereplacement of parts(Y/N; file a warranty claim to repair part that has not yet failed), false date(Y/N; submit a back-dated warranty claim to fall within the warranty period), false defect(Y/N; submit a claim for a covered defect when the actual defect is not covered by the manufacturer warranty), claim amount, and claim frequency, etc. Response variable would be either suspicious or non-suspicious claim (binary; Y/N). Use: Variable selection methods such as Elastic Net variable selection or Stepwise selection To: Identify which of these predictive factors have the greatest impact in classifying the warranty claims into suspicious or non-suspicious [Show More]
Last updated: 1 year ago
Preview 1 out of 3 pages
Information Technology> PROJECT FINAL > Georgia Institute Of Technology - CS ISYE6501XISYE 6501 Course Project American Honda Motor Co., Inc (All)
ISYE 6501 – Course Project American Honda Motor Co., Inc Case Background: Just like other automotive distributors, American Honda works with a network of dealerships that offers warrantied repai r w o...
By A+ Grades , Uploaded: Jul 24, 2021
$1.5
Information Technology> PROJECT FINAL > Georgia Institute Of Technology - CS ISYE6501XISYE 6501 Course Project American Honda Motor Co., Inc (All)
ISYE 6501 – Course Project American Honda Motor Co., Inc Case Background: Just like other automotive distributors, American Honda works with a network of dealerships that offers warrantied repai r wor...
By Tutor Frankline , Uploaded: Jul 24, 2021
$2
Information Technology> PROJECT FINAL > Georgia Institute Of Technology - CS ISYE6501XISYE 6501 Course Project American Honda Motor Co., Inc (All)
ISYE 6501 – Course Project American Honda Motor Co., Inc Case Background: Just like other automotive distributors, American Honda works with a network of dealerships that offers warrantied repai r wor...
By Hilda , Uploaded: Jul 21, 2021
$3
Information Technology> PROJECT FINAL > Georgia Institute Of Technology - ISYE 6501ISyE 6501 Introduction to Analytics Modeling Course Project (All)
ISyE 6501 Introduction to Analytics Modeling Course Project Finding your best customers with machine learning https://www.sas.com/en_us/customers/seacoast-bank.html Why I picked this project? - Th...
By Muchiri , Uploaded: Apr 13, 2021
$2
Information Technology> PROJECT FINAL > Georgia Institute Of Technology - ISYE 6501Course_Project-1. FALL2020 (All)
Course Project Using data to target users and optimize the offering portfolios I. Personal Motivation This report deals with opportunities of predictive and prescriptive analytics methods for a bro...
By Muchiri , Uploaded: Apr 13, 2021
$7
Financial Accounting> PROJECT FINAL > ACC 201 5-1 Final Project Milestone Two - Accounting Workbook (All)
Overview In Milestone One, you completed the first part of your course project to demonstrate your ability to accurately record financial data. In Milestone Two, you will use your journal entries fro...
By ACADEMICTUTORIAL , Uploaded: Nov 29, 2021
$3.5
Information Technology> PROJECT FINAL > IDS 403 4-2 Final Project Milestone 2 Analyzing an Issue or Event in Technology (All)
Analyzing an Issue or Event in Technology through the Lenses of History and the Humanities
By ACADEMICTUTORIAL , Uploaded: Jan 24, 2022
$3
*NURSING> PROJECT FINAL > NURS 420 Final Project Outline (All)
NURS 420 Final Project Outline
By ACADEMICTUTORIAL , Uploaded: May 18, 2022
$3
Business> PROJECT FINAL > BUS 206 5-2 Project Two Submission (All)
BUS 206 5-2 Project Two Submission
By ACADEMICTUTORIAL , Uploaded: May 18, 2022
$3
Health Care> PROJECT FINAL > IHP 330 7-2 Final Project (All)
Principles of Epidemiology IHP 330 7-2 Final Project
By ACADEMICTUTORIAL , Uploaded: May 19, 2022
$3
Connected school, study & course
About the document
Uploaded On
Apr 13, 2021
Number of pages
3
Written in
This document has been written for:
Uploaded
Apr 13, 2021
Downloads
1
Views
139
Avoid resits and achieve higher grades with the best study guides, textbook notes, and class notes written by your fellow students
Your fellow students know the appropriate material to use to deliver high quality content. With this great service and assistance from fellow students, you can become well prepared and avoid having to resits exams.
Your fellow student knows the best materials to research on and use. This guarantee you the best grades in your examination. Your fellow students use high quality materials, textbooks and notes to ensure high quality
Get paid by selling your notes and study materials to other students. Earn alot of cash and help other students in study by providing them with appropriate and high quality study materials.
In Browsegrades, a student can earn by offering help to other student. Students can help other students with materials by upploading their notes and earn money.
We're available through e-mail, Twitter, Facebook, and live chat.
FAQ
Questions? Leave a message!
Copyright © Browsegrades · High quality services·