This paper explores a cluster analysis and data-driven marketing recommendations for Cartel Coffee Lab, a local coffee shop. Building a loyal customer base is the biggest asset to a company’s success. This is crucial when Cartel’s main location has a fast-changing environment, such as a university, located nearby. The reason for this is mainly due to the influx and customer churn that a hub produces. Our team’s focus was on analyzing customer buying patterns to determine the different customer segments within Cartel Coffee Lab. Our methods included creating temporary databases in Microsoft SQL Server and performing a cluster analysis in SAS Enterprise Miner. The cluster analysis results were then used to propose data-driven marketing recommendations for each customer segment in order to provide a well-designed value proposition. Additionally, a loyalty program was recommended in order to increase customer profitability and loyalty, depending on the cluster segment. Through identifying the current situation, business questions, research methodology, analysis results, and plan of action, this creative project will cover multiple key areas of a business analytics project.

The following honors thesis analyzes the history of advertising in the state of Arizona since the late 19th century and its overall impact on economic development. Advertising is defined as the action of calling something to the attention of the public, especially by paid announcements; and economic development is defined as the process whereby simple economies are transformed into modern industrial economies. This paper will analyze the influence of key people, events, locations, and publications on consumer behavior and discuss how they contributed to tourism in the state and, subsequently, economic growth. By speaking to experts on Arizona history, economic development and tourism as well as analyzing a variety of historical multimedia, I will discuss how advertising methods evolved over time and how they contributed to increased interest and growth within the state.

The NBA has shown to have immense popularity on social media, but has struggled recently in traditional TV viewership. Research has shown that NBA fans skew young, as the youngest fan base of the four major North American sports leagues, and that the fandom of NBA teams can be highly volatile. Research has also shown that sports fans are inclined to cheer for and identify with the team who is not favored to win in a game that they are unfamiliar with. This study aims to understand NBA fan loyalty that leads to fans tuning into NBA broadcasts, and the factors that influence both player and team loyalty among fans. By understanding what factors lead to an NBA fan watching a game on TV, there will be an increase in the number of fans who are consistent viewers of games. The question being asked is: Are NBA fans more inclined to watch games because of their favorite team or their favorite players, and what factors influence their loyalty to team and their loyalty to player?

Based on research conducted on social media usage and fan identification, an online survey was created and distributed. Respondents who identified as NBA fans answered questions regarding social media usage, live sports TV viewership, and more questions regarding presumptive factors leading to NBA game TV viewership. Analysis of the responses found that loyalty to team was a bigger factor than loyalty to player in getting NBA fans to watch games on TV. Results also indicated that loyalty to team increased based on an increase in live sports TV viewership per week, loyalty to player increased based on an increase in national TV NBA game viewership, and die-hard fans are more likely to watch NBA games for their favorite team and players than casual fans. Based on these results, it is recommended that the NBA markets their games towards casual fans, with player-focused marketing for their national TV games.

By 2030, annual global automobile production is projected to reach over 110 million vehicles with an increasing quantity having autonomous capabilities. Based on this trend, Company X is poised to drive profits by leveraging advancing technology from their subsidiary to gain significant market share within the AV industry. This will solidify Company X’s position as a key player and leader within the AV industry, which is expected to grow to $7 trillion by 2050, and Company X can achieve this by providing a technology suite including a systems on a chip to auto manufacturers and creating partnerships in the technology and automotive industry.

Cities and towns are creatures of the state. There is a constitutional hierarchy between levels of governments, and cities and local governments are structurally at the bottom of this hierarchy. However, despite this established dynamic of power, local governments in the State of Arizona have traditionally maintained a significant level of autonomy when it comes to enacting their own policies. In the face of slow-moving state and national governments, local governments have operated on a level that is quick to respond to the needs of its citizens, and cities have assumed the role of filling in the policy and administrative gaps of higher levels of government. However, relatively recently, there has been increased conflict between cities and the State of Arizona. The state legislature has passed various measures restricting local governments on a variety of topics ranging from elections, labor, firearms, immigration, environmental regulations, and more, preempting cities at a wide level.

Cities are living systems. Their form and function are constantly changing to reflect the preferences and needs of their residents. One process of change in a city occurs when rapid investment pours into a neighborhood that was previously neglected. This so-called revitalization serves as a catalyst for many city improvements like new residential buildings, glamours commercial complexes, and even enhanced public transit. This process, also known as gentrification, can be a force for good as it results in population growth and economic opportunity. But with enough investment, prices -- including rent -- can be forced upwards equally as rapid. This is when gentrification can result in potentially negative outcomes for residents who can not keep up with the rent increases and are displaced from a city. Culture, as defined by people and business in an area, is the pride of many cities. A loss of culture through displacement is an outcome that anti-gentrification advocates want to avoid. But, cultural displacement may not always comprise a loss. In certain cases, displacement is just the natural byproduct of city evolution. An ideal solution to this state of affairs would be for cities to encourage gentrification while discouraging displacement. This study will explore how.

The purpose of this thesis is to evaluate Company F’s inventory management practices and make recommendations on how to improve ordering and reduce inventory carrying costs. With today’s software programs we are able to run analyses’ almost instantly that show us the relationship between demand and inventory. Ideally, every company wants to have enough inventory to meet customer demand, but not so much that carrying costs skyrocket. Not only does it cost more to store inventory, but it also ties up capital which is difficult to liquidate. Finding a happy medium between customer service level and carrying costs will keep company F’s franchisees satisfied and the company profitable. Using different forecast analyses’, I will be evaluating Company F’s fastest selling category of 5 products with the goal of finding the most accurate forecast model. I will also determine reorder points and reorder quantities for the rest of Company F’s SKU’s based on average usage, lead time, and safety stock. The result of my findings will provide cost savings for the company which affects the bottom line.

My recommendations to the company will be based on the findings of the analyses’ used. There may be multiple conclusions in the recommendations for demand forecasting based on each individual forecast used. However, I will give my insight on which forecast I think is more accurate and why this one would be the best to implement in terms of accuracy. Going forward, the company will be capable of implement these models and fine tune them as necessary to help streamline their inventory needs.

Entrepreneurship is an incredibly difficult endeavor. Along with the potentially high risk-to-return-ratio, starting an entrepreneurial venture, in nearly any capacity, necessitates a significant summation of work, time, creativity, and adaptability.1 In my opinion, many of the token hyper-productive individuals that have produced enormous amounts of value for the world were entrepreneurs who started their own companies and organizations. However, for every successful founder, there are thousands of failed entrepreneurs. In 2015, the Bureau of Labor Statistics found that roughly 50% of businesses fail in the first four years.2 Founders, over time, must become professionals in their respective industries in order to succeed. With limited financial capital to hire employees, founders must learn skills in a variety of focus areas which could include finance, strategy, technology, management, marketing, sales, and many more, until they can generate enough capital to hire employees to fulfill these roles. Although the learnings and experiences from starting a company can more effectively be understood through experiencing it first-hand, in this document, I intend to start a startup from scratch, learn a multitude of skills involved with starting a startup and describe my experience. My hope is that potential founders can read this document and get a better understanding of what it’s like to start a startup. This thesis will be less focused on quantitative data capturing and more focused on my first-hand experience.

In the past decade, online shopping mode has been recognized and accepted by more and
more people. Over 200 million people were online shoppers in the United States. Convenient,
options, and better prices compared to traditional shopping mode attract more people to choose
the products online. Consumer’s feedback presented as online reviews on products after the
purchase has become one of the most important factors influencing whether other consumers will
purchase products. For merchants, by studying the behavioral differences of these online
consumers when evaluating products, they can help them to understand product characteristics
and their customers to improve online marketing strategies. This article explores the differences
in the types of utilitarian and hedonic products and behavioral changes in customer opinions,
which involves 22 different categories of products from Amazon.com and customer reviews for
analysis through a variety of technical and research methods.