Case study From Management information system

Anonymous
timer Asked: Feb 6th, 2019
account_balance_wallet $30

Question Description

Every thing you all need to know it’s on the pa

Unformatted Attachment Preview

Assignment 2 Course Code : Student’s Name: Mis 201 Academic Year: 2018-2019 Students Number: Semester: 2nd Students Grade: CRN: Level of Mark: /5 Management Information System MIS 201 Semester 2 (2018-2019) Assignment Details Prepare an in-depth analysis of four case studies during the semester. Here are some guidelines: • This is an individual assessment, which is a part from your course score. It requires effort and critical thinking • Answer all the questions listed below for each case. • The ‘answers’ to the questions are best formulated by reviewing the case and the reading materials up and including the current week in the course. • The questions are worded to help you apply the readings to the case, so don’t limit yourself to the case’s terminology and perspective. The best analysis will abstract the case content by applying the reading materials to draw broader lessons about the material Case Study 2 Questions: Vail Ski Resorts Goes High-Tech for High Touch 1) List and describe the types of systems described in this case study. 2) How do these systems improve the operation of the business? 3) How do these systems support decision-making? Identify 3 different decisions that can be supported by these systems. Case Study 2: Vail Ski Resorts Goes High-Tech for High Touch Vail Ski Resort is the largest single mountain ski resort in the United States, with 5,289 acres of the most diverse and expansive skiing in the world. To its world-class skiing, Vail is also trying to offer world-class customer care—fine dining; spas and ski valets ready to haul, stow, and retrieve your equipment; heated boots; and hand-warming packets. Vail's season pass is a top value industry-wide; its free PEAKS Rewards membership program further inculcates customer loyalty. Members can the most economical lift tickets online, link the PEAKS card to a credit card, and accumulate points that can be redeemed free lift tickets, ski school lessons, and various discounts. In 2012, Vail Ski Resort installed the fastest, highest capacity gondola in the United States. Seating ten people per cabin, and with an uphill speed of 1200 feet per minute, the state-of-the-art gondola carries 3600 skiers per hour while decreasing ride time from 9 to 7.5 minutes. Heated seats and Wi-Fi access make it one of the world's most customer-friendly ski lifts as well. Long lift lines have always created a big headache for skiers. In the past, the only way to gauge the flow of the crowd was to ask lift operators or check on bulletin boards at the bottom of the lifts. Now Vail skiers are able to obtain accurate up-to-the minute lift line information by using social networking, streaming alerts, and the resort's own Witter account. Slope congestion can be alleviated by offering special pins or prizes to coax guests to move to a different slope. Guests can be directed to on-mountain dining locations at lunch time. Vail now uses radio frequency identification (RFID) lift tickets and ski passes. Part of the EpicMix social media program, the tickets and passes are scanned at the base of each lift so that skiers and snowboarders can track how many lifts they ride and the vertical feet ascended each day. The scanned data are automatically transferred to an EpicMix application which can be accessed from either a smartphone or a computer. The basic program is free and confers various pins and virtual awards based on user statistics. For example, you earn the "Connoisseur" pin after 75 lifts and the "Over the Moon" pin when you surpass 350,000 vertical feet skied. After you create your EpicMix account, you can view and share stats by linking to your Facebook and Twitter accounts. The EpicMix Racing program provides additional fun. At one of six race courses, you can compete against friends and family, all skiers, and even 2010 Olympic women's downhill gold medalist Lindsey Vonn. At the beginning of each season, the four-time overall World Cup champion establishes a course time for race courses at Vail, Beaver Creek, Breckenridge, Keystone, Heavenly and Northstar. Race pros then ski the courses to establish their "seconds behind Lindsey." 'lb factor in changing course conditions, every day one of the race pros skis each course and uses his or her "seconds behin Lindsey" to determine a course time for Vonn on that particular day. When you ski a course, your actual time is automatically recorded and then adjusted for gender, age, and discipline. Snowboarders, telemark skiers, and adaptive skiers with disabilities and special needs can also participate. Scores are computed based on each skier's "seconds behind Lindsey," and gold, silver, and bronze medals are awarded to the top three daily. Race results and leaderboards are accessed on EpicMix.com or the EpicM mobile app, available for Apple and Android smartphones. Your dashboard tallies your Lindsey Vonn Race Series points, EpicMix Racing medals, total number of resort check-ins, total days on a mountain, vertical feet, pins earned, and number of EpicMix photos taken. The six race course mountains are staffed by 140 professional photographers. Photos are automatically identified and uploaded by scanning the intelligent chip embedded in the skier's lift ticket. Photos can be captioned and shared free on Facebook and Twitter, or you can purchase prints at a number of locations, including, of course, the Children's Ski Schools. You can also purchase a $30.00 season package for unlimited downloads of all images taken at all locations and print them out later. All of these amenities turn a ski vacation into an "experience" that can be shared with family and friends, increasing emotional attachment and promoting customer retention. Still, to ensure that it is fully leveraging the wealth of customer data it collects, Vail Ski Resorts' parent company Vail Resorts implemented SAS Customer Intelligence software. Customer data were previously collected and stored in a number of unrelated systems. Now, the data are compiled in a single database that includes all customer points of contact, allowing a complete picture of customer habits and preferences to emerge. Rather than one or two versions of a marketing campaign, Vail Resorts now runs 30 to 50, targeted to specific groups. In the future, the company expects to expand to hundreds or even thousands of personalized, individual communications. SAS predictive analytics will help Vail Resorts to identify guest motivations and anticipate customer desires, while customer segmentation models identify profitable segments to which they might be steered. Vail Resorts plans to further personalize its engagement with its guests and enrich their mountain experiences before they have even begun. ...
Purchase answer to see full attachment

Tutor Answer

bracz
School: Carnegie Mellon University

Attached.

Assignment 2

Course Code:

Student’s Name:

MIS 201
Academic Year:
2018-2019

Students Number:

Semester: 2nd

Students Grade:

CRN:

Level of Mark:

/5

Management Information System MIS 201
Semester 2 (2018-2019)
1) List and describe the types of systems described in this case study.
Types of systems.
i.

Transaction processing systems

ii.

Management information systems

iii.

Decision support systems

iv.

Executive support systems
Management information system (MIS) is used to support an organization's middle managers
perform functions of planning, control and decision making. In this case, Vail uses MIS to
ensure managers make the right decisions by providing accurate information on the number

of customers and their needs. The system has helped the resort manage long queues of
customers waiting for lifts. It has also helped the company come up with ways of easing long
lines and slope congestion by offering special prizes to customers...

flag Report DMCA
Review

Anonymous
Thanks, good work

Similar Questions
Hot Questions
Related Tags
Study Guides

Brown University





1271 Tutors

California Institute of Technology




2131 Tutors

Carnegie Mellon University




982 Tutors

Columbia University





1256 Tutors

Dartmouth University





2113 Tutors

Emory University





2279 Tutors

Harvard University





599 Tutors

Massachusetts Institute of Technology



2319 Tutors

New York University





1645 Tutors

Notre Dam University





1911 Tutors

Oklahoma University





2122 Tutors

Pennsylvania State University





932 Tutors

Princeton University





1211 Tutors

Stanford University





983 Tutors

University of California





1282 Tutors

Oxford University





123 Tutors

Yale University





2325 Tutors