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When examining the average college campus, it becomes obvious that students feel rushed from one place to another as they try to participate in class, clubs, and extracurricular activities. One way that students can feel more comfortable and relaxed around campus is to introduce the aspect of gaming. Studies show that “Moderate videogame play has been found to contribute to emotional stability” (Jones, 2014). This demonstrates that the stress of college can be mitigated by introducing the ability to interact with video games. This same concept has been applied in the workplace, where studies have shown that “Gaming principles such as challenges, competition, rewards and personalization keep employees engaged and learning” (Clark, 2020). This means that if we manage to gamify the college experience, students will be more engaged which will increase and stabilize the retention rate of colleges which utilize this type of experience. Gaming allows students to connect with their peers in a casual environment while also allowing them to find resources around campus and find new places to eat and relax. We plan to gamify the college experience by introducing augmented reality in the form of an app. Augmented reality is “. . . a technology that combines virtual information with the real world” (Chen, 2019). College students will be able to utilize the resources and amenities available to them on campus while completing quests that help them within the application. This demonstrates the ability for video games to engage students using artificial tasks but real actions and experiences which help them feel more connected to campus. Our Founders Lab team has developed and tested an AR application that can be used to connect students with their campus and the resources available to them.
As Clive Humby said, “Data is the new oil” and is becoming ever more important to every industry, profession, and business with incredible applications like artificial intelligence and machine learning. Looking specifically at the Small and Medium Businesses (SMB) market segment, there is a significant gap in the use of data analytics. Only 15% of SMBs have a “data-driven” culture. Companies that leverage data to drive decision-making have seen increased revenue, profit, and employee output. Despite the benefits, SMB owners run into three main issues. First, a lack of bandwidth as time and human capital are stretched thin. Second, technical expertise as many analytics tools require coding expertise or knowledge of systems and tools which many SMBs do not possess. Lastly, many SMBs lack the finances to invest in costly tools or subject matter experts. Enterprise-level organizations will continue to invest in analytics leaving SMBs behind and increasing economic inequality. Our solution is DataMate, a Data as a Service (DaaS) no-code, low-cost, and low-time intensive platform designed to provide end-to-end analytics solutions for SMB owners. The platform allows users to automatically pull data from sources (ex. point of sale, customer relationship management, etc.), store data in a centralized location, and lastly, visualize data through dashboards to enable SMBs with data-driven decision-making capabilities. Once at scale, we will be able to create models and deliver advanced predictive and prescriptive analytics. The global data-as-a-service industry market was valued at $5.5B in 2021 and is expected to grow at a CAGR of 36.9% until 2030. SMBs account for a minority of global revenue share but are expected to grow faster than large enterprises. The Total Addressable Market (TAM) for the data-as-a-service industry of small and medium-sized businesses in the United States is roughly $1.02B and the Serviceable Obtainable Market (SOM) is roughly $2.6M. The DaaS industry is highly competitive with high customer bargaining power and large growth potential. Some direct competitors to DataMate are FiveTran, Looker, Domo, and Alteryx. While offering similar data infrastructure services, no solution can achieve DataMate’s unique product value proposition. A fully operational platform will require considerable technical investment. Our go-to-market strategy consists of a manual and automated phase. To start, leveraging the expertise of data/business analysts to manually build end-to-end analytics solutions. Concurrently, we plan to build an automated platform. By starting to manually build, we can bring revenue on day one while solidifying template dashboards and ETL flows. Additionally, DataMate will start building data solutions only in the restaurant vertical given its large market segment and homogeneity of tools. Given the numerous variations in data needs between SMB industries, a step-by-step rollout allows for quality integration. Eventually, the platform will expand to all industries.