SAM 11486 - ETickets.com: System Analysis and Modeling Case Study

This case study provides a system analysis and modeling of ETickets.com, an online ticketing platform. The project's purpose is to integrate emerging technologies and develop a big data presence to handle the increasing data load. It covers functional requirements such as login, registration, contract signing, ticket listing, and sales. The analysis identifies key stakeholders including customers, bus owners, ticketing managers, and ETickets.com staff, detailing the impact of the new system on each. A rich picture visually represents the system's complexity, and an event table outlines system events, triggers, and responses. Key assumptions include the stakeholders' understanding of the need for system modification and the limitations of the existing system in data storage and support.

Running head: SYSTEM ANALYSIS AND MODELING
System Analysis and Modeling
Name of the Student
Name of the University
Author’s note:

1SYSTEM ANALYSIS AND MODELING
Table of Contents
1. Project Purpose:...........................................................................................................................2
1.1 Functional Requirements:......................................................................................................2
2. Stakeholders:................................................................................................................................3
3. Rich Picture:................................................................................................................................5
4. Event Table:.................................................................................................................................6
5. Assumptions:...............................................................................................................................8
Bibliography:...................................................................................................................................9

2SYSTEM ANALYSIS AND MODELING
1. Project Purpose:
The primary purpose of the project is to integrate emerging technologies within the
online presence of ETickets.com. ETickets.com has to handle a lot of processes simultaneously
that inputs a lot of data and produce huge amount of information. These raw data and
information is handled using old conventional data storage system. This project is also
undertaken for developing a big data presence in the environment of ETickets.com (Gandomi
and Haider 2015). The conventional system does have to store the contracts with every bus
company. Along with that every second people are buying tickets, getting registered in
ETickets.com and a lot of ticket related issues are stored in the system storage. The conventional
systems are not designed to handle so much data simultaneously. For this reason, the website of
ETickets.com is getting slower. The big data will allow ETickets.com to fetch, process and store
huge chunk of data simultaneously (Hashem et al. 2015). The big data will also be fit for future
development and expansion of ETickets.com.
Another purpose of the project is executing social media integration for ETickets.com.
The organization does not have any promotional strategy. The presence of the organization is
strengthen by its quality service. The only promotion it gets is customer reference. The social
media integration will allow ETickets.com to attract many new potential clients. The quality of
service and present customer loyalty will assist the organization to spread through the social
media quickly. ETickets.com can promote offers and new services through social media easily.
Some of the social media sites also allow sales of tickets.

3SYSTEM ANALYSIS AND MODELING
1.1 Functional Requirements:
The functional requirements are the characteristics of the system. The functional
requirement of ETickets.com are described in the below section.
Login: It is a very essential functional requirement for implementing basic securities in
the online system. The login will allow ETickets.com to identify which type of user is accessing
the system and what is the user’s authorization level. Based on the customer type, ETickets.com
will enable access to the system functions and data.
Registration: Registration is essential for selecting the login credentials. Only after the
registration is complete, the system will accept the user as a valid one (Khan et al. 2016). The
registration can be lengthy process as it requires mobile and email verification process.
Contract Signe: The organization will provide an online form which the bus owners have
to fill. This will be used as a service level agreement among them. This contract can be modified
by the bus owners but after ETickets.com enables modification.
Ticket Listing: A representative of bus organizations will be responsible for list all the
tickets of buses. These tickets will be shown to the customers as soon it is listed.
Ticket Sales: The customer will buy tickets based on the date, source, destination and
more parameters. The system will show ratings of each bus and bus service providers so that
customer can compare service quality.
2. Stakeholders:
The main stakeholders of ETickets.com are customers, bus owner, ticketing manager,
ETickets.com staff and management. Each of them has a role to execute for making the business

4SYSTEM ANALYSIS AND MODELING
of ETickets.com running. Each of them will complete their work in a fixed way until the new
system is implemented. The new system will bring new features to the system and modify most
of the existing systems.
The new system will have huge impact on every stakeholder of ETickets.com. The
customer will be able to see offers from Facebook posts or YouTube ads. They can also provide
their feedback on social media. The ticketing manager will experience a lost quicker process
with extra steps. The system will include new security measures so that only authentic ticket
information is stored in it. The owners will get a much rich in information and presentable
reports. The decision making assistance can be expected from the system.

5SYSTEM ANALYSIS AND MODELING
3. Rich Picture:
Figure 1: Rich Picture of ETickets.com
(Source: Created by Author)

6SYSTEM ANALYSIS AND MODELING
4. Event Table:
Event Type Source Conditions Activities Responses Destination
Sign a
contract
with
ETickets.c
om
External Bus
operators
No existing
contract
The bus
operator
signs up a
contract
form
available in
the
ETickets.co
m website
Bus operator
data
valid/invalid
Bus
operators
Send list
of
available
tickets
through
internet
form,
email, fax
or
personally
External Ticketing
manager
Contract is
valid
The
ticketing
manager
uses the
interface to
list the
available
tickets in the
ETickets.co
m website
List is
accepted/Rej
ected
ETickets.co
m

7SYSTEM ANALYSIS AND MODELING
List online
tickets for
sale
Internal ETickets.
com
Contract is
valid
ETickets.co
m uses the
interface to
list the
available
tickets in the
ETickets.co
m website
Ticket list
updated
Customer
Search for
bus
service by
date
External Customer Service is
available for
entered date
The
customer
enters the
date of
travel and
searches for
service
Bus services,
route of
service,
vacant seats
ETickets.co
m
Select bus
service
System Customer Valid bus
service is
shown after
search
The
customer
select one of
the service
available on
the entered
date
Seat details Bus operator
Purchase System Customer Customer is Customer Receive Customer

8SYSTEM ANALYSIS AND MODELING
ticket logged in select a seat
and make
payment for
purchase
tickets in
print format
and in
mobile
5. Assumptions:
The primary assumption made for undertaking the project is that most of the stakeholders
of ETickets.com have understood the importance of modifying the existing system. The
customers want a faster system that can track their activities and show them offers and other
things based on their need. The management also want the system to be more effective and
create accurate reports. Another assumption made is that existing system is not able to provide
enough support to the ticketing manager and staff of ETickets.com. The data storage of the
system needs to be faster and capable of storing a lot more data than it is currently capable of.

9SYSTEM ANALYSIS AND MODELING
Bibliography:
Bell, S., Berg, T. and Morse, S., 2019. Towards an Understanding of Rich Picture
Interpretation. Systemic Practice and Action Research, pp.1-14.
Durrant, A., Moncur, W., Kirk, D.S., Trujillo-Pisanty, D. and Orzech, K.M., 2016. On presenting
a rich picture for stakeholder dialogue. In Proceedings of design research society conference
(DRS 2016). https://doi. org/10.21606/drs.
Gandomi, A. and Haider, M., 2015. Beyond the hype: Big data concepts, methods, and
analytics. International Journal of Information Management, 35(2), pp.137-144.
Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A. and Khan, S.U., 2015. The rise
of “big data” on cloud computing: Review and open research issues. Information systems, 47,
pp.98-115.
Khan, S., Babar, M., Khan, F., Arif, F. and Tahir, M., 2016. Collaboration Methodology for
Integrating Non-Functional Requirements in Architecture. the Journal of Applied Environmental
and Biological Sciences (JAEBS), 6(4S), pp.63-67.
Killian, G. and McManus, K., 2015. A marketing communications approach for the digital era:
Managerial guidelines for social media integration. Business Horizons, 58(5), pp.539-549.