Get to know Graeme Davis, Founder and CEO of Brüha who is enrolled in our Online Data Analytics course to learn how to structure, organize and draw meaningful conclusions from data. Get inspired by Graeme and his pursuit of building his data skills.
What is your education and career background? Your current role?
I graduated from Queen’s University with a philosophy BA in 2011, and shortly after gained an affinity for computer science. I found a compelling correlation between the study of logic and philosophy and the logic-based programming languages in software. In 2014 I hired a tutor to train me in the foundations of computer science, and in 2015 I completed Intro to iOS Development and Intro to Web Development courses through Brainstation.
In May 2012 I founded my first software tech company ShowDom. I had found event discovery to be problematic and difficult through the majority of my youth, and particularly when I wanted to learn about local events, concerts and parties. Frustrated that there was no one single hub to host all or a majority of event information for a given city, I vowed to solve this problem, and in March of 2013 launched the local event discovery app ShowDom for web, iOS, and Android products.
ShowDom became an in-depth look into the event’s industry, and I began studying the ticketing industry in order to learn how other companies were attempting to increase client’s event awareness and ticket sales. In early 2015 I was accepted into the Forge accelerator in Hamilton ON. By May 2015, I had hired a new team of co-founders to begin work on an online ticket provider company called Brüha. Bruha Inc. would officially incorporate in December 2015, and the company launched its ticket provider suite in May 2016.
As acting CEO and Chairman of the Board, I currently oversee all business development for the company Brüha. My duties also include contributing to product development, design, marketing, advertising and general business networking, as well as customer acquisition and overseeing Brüha’s legal and financial developments.
What made you decide to enroll in Data Analytics?
I am enrolled in Online Data Analytics in the coming Fall semester. After years of training and running software companies, I feel confident in my knowledge of programming principles. Data analytics, and the ability to structure, organize and draw meaningful conclusions from data, is a skill I know I can personally strengthen.
Working at Brüha, we gather and assess data every day. Whether we’re looking at data coming in from our our product analytics, tracking data on customer feedback, or assessing data as part of our growth strategy, we are always evaluating information coming in through various channels. In order to function as a business in today’s world, it’s almost a requirement to be constantly tracking and evaluating data.
How does the Online Course model fit your needs?
The Online Course model was a convenient option for myself as I do not live in Toronto. Running a startup in Hamilton, long work hours and geography limits the feasibility of commuting to Toronto for in-person classes. The Online model allows me to be apart of the student/teacher community that Brainstation is renown for, while working from my own office on a schedule that can compliment my already busy lifestyle.
What are you most excited to learn in Data Analytics?
I’m particularly interested to expand my understanding of SQL data queries. I rarely write SQL queries, usually handled by our dev team. Something that I’m excited to get a deeper understanding of and learn more complicated query methods.
Another piece that is relevant for my business right now is on presenting data into tell a clear story. Whether it’s pitching to a new customer or pitching to a potential funder, the data is always the make or break for closing a deal. No doubt the presentation of that story is just as relevant as the data itself.
How do you plan on applying your newfound skills, personally and/or professionally?
Following my last point, the ability to gather and present data telling the story of why a customer should use us will add a direct benefit to my profession.
It goes much further than customer acquisition of course. Strengthening one’s data analytic capabilities opens doors for offering strong data assessment with all areas of the business.
Examples include evaluating advertising campaigns, strategic partnerships, social media strategies, financials, project budgets, hiring new employees, prioritizing development schedules, growth strategies, and so on.
Most operational aspects of a company can be measured in data and those insights can be used to help guide important decisions.
Ready to boost your skill-set with Data? Learn more about our upcoming online Data Analytics course.