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- All Subjects: Technology
- All Subjects: Data Analytics
- Creators: Department of Information Systems
- Member of: Theses and Dissertations
This thesis includes three separate documents: a) a comprehensive document detailing the methods and analysis of the creative factors tied to series success, b) an hour long pilot script based on this data, and c) an industry-standard pitch deck for a TV show created with data insights. In a larger sense, the aim of this study is to take the first steps in remedying information asymmetry between streaming services and content creators. If streaming services were more transparent with their data and communicated to their creators what has been proven to work in the past, showrunners and staff writers could have a new tool to increase the competitiveness of their series and aid in show renewal each year.
Esports is the fastest growing sub sector within the entertainment industry, predicted to garner over 600 million viewers by 2022. However, there is a big category of esports - mobile esports - that are not yet recognized globally. This thesis project analyzes how mobile esports has risen in the Eastern countries of the world, primarily Southeast Asia, and compares it to the possibility of replication in the Western countries of the world, primarily the United States and Brazil. It examines the specific factors that caused mobile gaming and thus mobile esports to flourish in the East Region of the world. The thesis additionally incorporates current attitudes towards esports and mobile esports in the United States and discusses the viewpoints of consumers in those specific areas. This research uses primary data and literature synthesis to ultimately increase knowledge on how mobile esports has risen in popularity in various Asian countries and whether or not mobile esports can thrive in a different environment such as the United States.<br/><br/>This thesis takes data from the “Newzoo Global Esports Market Report” conducted in 2020 by Newzoo. This report does the following:<br/>- dives deep into the global and regional esports economy<br/>- provides a realistic estimate of the market’s future potential regarding revenue streams, audience numbers, key trends, and franchises<br/>- highlights financial and statistical trends for the esports industry in the future<br/><br/>Overall the thesis finds that mobile esports have succeeded in the Asian market due to an established demographic of esports fans and players, mobile first consumers, and wide technology network in Asia. Data analysis finds that currently many American gamers still find mobile gaming to be “boring” and ultimately that cultural attitude, generational shifts, and the ideal game need to align for mobile esports to succeed in the United States.
Created predictive models using R to determine significant variables that help determine whether someone will default on their loans using a data set of almost 900,000 loan applicants.
Corporate buzzword terms like “big data” and “data analytics” are vague in meaning, and are thrown around by media sources often enough to obfuscate their actual meanings. These concepts are then associated with company-wide initiatives beyond the reach of the individual, in a nebulous world where people know that analytics happens, but don’t understand what it is.
The power of data analytics is not reserved for company-wide initiatives, or only employed by Silicon Valley tech start-ups. Its impacts are visible down at the team or department level, and can be conducted by the individual employees. The field of data analytics is evolving, and within it exists a rapid transition in which the individual employee is becoming a source for insight and value creation through the adoption of analytics based approaches.
The purpose of this thesis is to showcase an example of this claim, and demonstrate how an analytics based approach was applied to an existing accounting process to create new insights and information. To do this, I will discuss my development of an Excel based Dashboard Analytics tool, which I completed during my internship with Bechtel Corporation throughout the summer of 2018, and I will use this analytics tool to demonstrate the improvements that small-scale analytics had on a pre-existing process. During this discussion, I will address conceptual aspects of database design that related to my project, and will show how I applied this classroom learning to a working environment. The paper will begin with an overview of the desired goals of the group in which I was based, and will then analyze how the needs of the group led to the creation and implementation of this new analytics-based reporting tool. I will conclude with a discussion of the potential future use of this tool, and how the inclusion of these analytical approaches will continue to shape the working environment.