Optimisation of Operations at the Q Events limited

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UNIVERSITY OF SOUTH AUSTRALIA
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Name:
Student
ID
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Course code and title: MATH 1053 – Quantitative Methods for Business
School: Info. Tech. & Mathematical Sciences Program Code:
Course Coordinator: Dr Nick Fewster-Young Tutor:
Day, Time, Location of Tutorial:
Assignment number: 2 Due date: by 12 noon on Tuesday 16th
October, 2018
Assignment topic as stated in Course Outline: Case Study Report
Further Information: (e.g. state if extension was granted and attach evidence of approval,
Revised Submission Date)

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Optimisation of Operations at the Q Events limited
18/10/2019
prepared by
Student Name
Introduction
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Following the introduction and the taking off of the Q Events limited, I was contracted by
Gregory Lux to conduct an analysis of the business historical data and provide insights that can
assist the management understand the activities of the business. In addition, I was required to
generate models that can assist the firm optimise its operations in a bid to increase profitability.
Furthermore, the report will contain an analysis that will provide detailed information regarding
the impact of social media on the ticket sales. Under this objective the report will forecast on the
appropriate social media to promote each of the events organised by Q Events.
For the revenue from an event to be maximised there is need to carry out an event over a
calculated amount of time. Therefore, the report will try develop the quantity of time that can
optimise returns from an event in each of the three Australian cities of concern.
Afterwards, the tasked will involve developing a model that can be used to forecast the event
ticket prices using the advertising budget data. This will also involve conducting an analysing in
to the relationship between the ticket prices and the advertising budget.
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