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- All Subjects: healthcare
- All Subjects: Data Analytics
- All Subjects: Social Media
- Creators: Department of Information Systems
- Creators: College of Health Solutions
- Resource Type: Text
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.
Social media is rapidly changing the way we view the world and live our lives, serving as an online space for connection, creative expression, and inspiration. However, the ever-evolving world of photo editing apps combined with popular health and fitness content on social media sites can be a dangerous combination for young women’s self esteem and body image. This thesis defense explores the ways in which young women are influenced by content that they interact with online. The goal of this project was to provide a general analysis of how fitness and diet-promoting culture on Instagram is affecting young women’s behaviors and perceptions of themselves with an emphasis on the local ASU community. A literature review was conducted as well as an informal survey in order to collect data on the topic and formulate suggestions for alleviating these issues.
Individuals that align and identify themselves as part of the Lesbian, Gay, Bisexual, Transgender, Queer/Questioning (LGBTQ+) Community, often face discrimination and bias from within the healthcare system that prevent them from receiving adequate patient knowledge, tailored and beneficial healthcare, as well as social support when seeking treatment for conditions that may at times, be more persistent within the community. Examples of these holes within the healthcare system include a lack of culturally competent and appropriate care for those in the community, access to affordable treatments, and other unique health needs.
Consequently, as a minority group these members face social and environmental factors that contribute to their overall wellbeing and health, and therefore training and education need to be implemented for future and current healthcare providers to assess, recognize and acknowledge these varying factors and how they contribute to a patient’s overall wellbeing.
Based on research analyzed on the barriers between students and campus resources, the optimization of student outreach, and marketing strategies directed towards students, the creation of a student-led campus health resource followed. Analysis of this research showcased that the medium in which students resources were promoted, and the framework of the resource have an impact on students' awareness of the resource, attractiveness of the student resource, and student resource engagement. Based on these analyses and results, the creation of HealthU occurred to provide a visible, engaging, and attractive student resource to the Arizona State University student body.
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.