Our fourth annual data visualization competition is back! Submit your best viz for the chance to present your visualization at our conference and win cash prizes.
Virtual or Augmented Reality
Physical medium (e.g. paintings, drawings, sculptures, photographs)
RStudio / RShiny
Graph, Chart, Visual, or Tool created via a software program (e.g. Adobe, Google, Excel)
Tableau Dashboard
Google Data Studio
Yes! Use any data viz you created!
Yes! You create a team of up to 4 people. All winnings will be split between the team members.
Absolutely! We can pre-record an overview of your visualization and play it during the event.
Kinsey Miller:
Kinsey is a decision scientist on the Test & Learn team at Starbucks. In her role, she supports the design, measurement, and interpretation of in-store A/B tests to guide data-driven decisions. Kinsey is based in Seattle, WA, and enjoys hiking, playing softball, studying French, and baking in her free time.
Kimly Scott:
Kimly has over 10 years of experience working in the analytics industry, both agency and client-side. She is currently Analytics Manager for Singapore-based beauty distributor, Luxasia, where she has helped to develop a data culture and brought data to the forefront of business decision making. A former Tableau Public Featured Author and recently named as one of the Institute of Analytics Professionals of Austrailia Top 25 Analysts in Australia. Kimly is passionate about making data accessible for everyone.
Meera Umasankar:
Meera Umasankar works at one of the leading international retail banks in Singapore as the Assistant Vice President in Data Democratization. Meera enjoys vizzing on important social topics and has taken part in many community data projects. She is also co-lead of the #DataPlusWomenSG community in Singapore.
Coffee Calculator
As an avid coffee drinker who cares about her health, I have personally struggled to find an online resource that allows me to quickly and dynamically view the nutritional information associated with my favorite beverages. Using data from public sources that I manually aggregated, I decided to put together a nutritional calculator that would enable the end-user to learn about a variety of beverages (including the ability to modify size and milk options) to inform healthy, caffeinated choices.
The star of the show (and the component that required the most data gathering, scrubbing, formatting, and validating) is the nutritional facts calculator that is cleverly disguised as a nutritional label. This is a dynamic tool that enables customization and empowers the user to explore the data as he or she customizes and compares a large variety of orders.
My hypothesis is that end-users will be most surprised and enlightened by the following:
– ounce per ounce, brewed coffee is more caffeinated than standard espresso beverages (i.e., Americanos, Lattes, Cappuccinos)
– for comparable beverages, those made with blonde-roasted beans are more caffeinated than those made with dark-roasted beans
– while Nonfat Milk serves up the lowest fat content for a 16 ounce Latte, Almond Milk is most favorable when it comes to minimizing sugar and overall calorie content
I hope you find the dashboard informative and transparent. Cheers!
Refugee Migration
The Tableau visualisation here shows the movement of refugees from various countries around the world to the US. The visuals here shows the trend, where the refugees were from, where did they settle in and which religion they belong to. The migration trend as of 2018 is on the decrease because of Trump’s presidency & his resettlement program. Burma ranks the top from where the people migrate. Texas ranks top on welcoming the refugees to their state. And of course, Muslims are not accepted like before due to Trump’s presidency & his rules. The call to action button below on the visualisation navigates to the UN refugees website so that the users can contribute or help the refugees with whatever they can.
ITP Impact
“This Data Studio Dashboard explains the impact of ITP (Intelligent Tracking Prevention) on data in Google Analytics. It’s made for online marketeers, who had troubles understanding the subject because of the technical and theoretical aspects to it. The goal of this dashboard was to make ITP clear and accessible for marketeers. To do so, I made three design choices:
1. The dashboard has the look-and-feel of an online article. That’s why the design is very clean and white, and why it combines data with informative paragraphs and infographics.
2. The dashboard is a story. Many dashboards show a lot of data at once without any hierarchy. This makes it hard for the viewer to see what is really important. This dashboard does the opposite: it takes viewers through the subject step-by-step. In the end, they know exactly what ITP might mean for their data.
3. The dashboard is personal. Many articles about ITP remained on a theoretical and general level. With this dashboard I wanted to show directly what ITP means for THEIR data. That’s why viewers can select their own Google Analytics data view on top.
Next to the dashboard, I also wrote an actual article that supports and promotes the dashboard. Even today, 2 months after the release of the dashboard, many people still view the dashboard on a daily basis.
Link to dashboard: https://datastudio.google.com/open/1llqii9oyHXx2kLy6AOHI8AQnKIS1BrX6
Link to article: https://towardsdatascience.com/what-is-the-actual-impact-of-itp-2-1-and-2-2-on-your-google-analytics-data-free-tool-99e42c5978a6″
The Global Journey of Refugees
The global refugee population reached a record high of 25.9 million in 2018. In this visualisation, users can explore where refugees mostly come from over the past decade and also where they usually seek asylum seeking safety, as a result of war, genocide and persecution. The visualisation also allows the user to explore where refugees resettle to start their new life and how host countries allowed refugees into their countries over the past decade.
Coming to Australia
“My visualisation titled ‘Coming to Australia’ looks at refugee resettlement in Australia and how it compares to the rest of the world.
Here, I wanted to highlight the global refugee crisis. At the end of 2018, there were over 25 million refugees worldwide, but less than 0.4% of the total refugee population had been resettled in another country. The majority of refugees are fleeing from war, conflict, violence and persecution.
Drawing on my family’s own experience as refugees resettling in Australia, I wanted to show the challenges and struggles refugees face when they flee their home country. Challenges such as language barriers, physical and mental health and racism and discrimination. By sharing my own personal story, I wanted to remind people that behind the data and the numbers, there are real people with real lives who matter.
The visualisation is built in Tableau to allow for interaction and exploration. I wanted the design to be clean and minimalist as to not detract from the important and often sensitive topic.”
Check out the top visualizations from previous years' competitions.
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I am a storyteller. I help purpose driven brands share their story through video marketing. For the WIA, I run the AV side of the event.
Matthew is a rising Junior studying Data Analytics in the Honors program at The Ohio State University, with a minor in Critical & Cultural Theory. He has experience with analytics in the non-profit and startup consulting space, with a passion for approaching problems with empathy and a humanities mindset regardless of scale. In his free time, Matthew enjoys rock climbing and volunteering for causes advocating for diversity and inclusion. He is also proud to be on the Executive Board of the Big Data and Analytics Association at OSU. He is excited to be one small part of this empowering community and learn from everyone who makes the WIA conference such a memorable experience.
Ariadna is a Data Scientist and Applied Micro-economist with a PhD from The Ohio State University. Her current work involves creating statistical and mathematical models to optimize marketing strategies, predict behavior, and reduce risk exposure. Her skillset includes econometric analysis, big data analysis, data management, and business intelligence. Ariadna specialized in the fields of Development, Regional, and Agricultural Economics during her PhD studies, and in Finance and Microfinance during her Master’s program. Through her work at the Battelle Center for Science and Technology and through the research for her dissertation, she gained experience in geospatial analysis and remote sensing data analysis. She has several years of industry experience including economic analysis and financial research work for Mexico’s Central Bank (Banco de México), the microfinance program of the Ministry of Economy in Mexico (PRONAFIM), and the Food and Agriculture Organization of the United Nations (FAO).
Kelly Woods is from Dayton, OH and lives with her husband and dog. Kelly earned a Business/MIS degree from Ohio University, an MBA from Franklin University and has 20 years of IT experience in Columbus, OH.
Resourceful, high energy analytics professional with 11 years of experience leading a team through challenge and change by implementing strategic planning, establishing direction and executing initiatives in support of business objectives and corporate goals. Strategic problem-solver with proven ability managing benefits initiatives aimed at bottom-line results.
Brian uses data to help organizations make better decisions, through a background in analytics and a consultative mindset.
Jenna graduated from The Ohio State University in 2018 with a Bachelor’s Degree in Industrial and Systems Engineering specializing in Data Analytics. Through OSU’s Honors Integrated Business and Engineering Program, she completed a project with CERN’s Knowledge Transfer Program in Geneva, Switzerland. Jenna currently works at LBrands as a developer for the Data Services team. In her free time, Jenna enjoys reading, traveling, and backpacking.
Abby Hammond is an Epidemiologist in the Data Analytics and Research team at the Ohio Department of Developmental Disabilities (DODD). At DODD, Abby focuses on ongoing reporting and projects. Some of her work includes helping with the Making Lives Better Project, QuickStats, “Opoiod Overdoses Among Individuals Served By DODD”, “Septicemia Among Individuals Served By DODD”, “Serving Individuals with Developmental Disabilities in Rural Ohio”, and more. Abby received her BSPH with a concentration in Sociology and her MPH in Epidemiology from The Ohio State University. Outside of work, Abby enjoys spending time with her labradoodle Duke, and managing “Meal Prep School”, and Instagram and Facebook page dedicated meal planning and kitchen hacks. is an Epidemiologist in the Data Analytics and Research team at the Ohio Department of Developmental Disabilities (DODD). At DODD, Abby focuses on ongoing reporting and projects. Some of her work includes helping with the Making Lives Better Project, QuickStats, “Opoiod Overdoses Among Individuals Served By DODD”, “Septicemia Among Individuals Served By DODD”, “Serving Individuals with Developmental Disabilities in Rural Ohio”, and more. Abby received her BSPH with a concentration in Sociology and her MPH in Epidemiology from The Ohio State University. Outside of work, Abby enjoys spending time with her labradoodle Duke, and managing “Meal Prep School”, and Instagram and Facebook page dedicated meal planning and kitchen hacks.
During the workday, I am a Data Analytics Manager for a retail company, Title Nine, which sells women’s athletic wear. And on the side, I volunteer as the Executive Director at a non-profit, Parangal Dance Company, a Filipino folk dance company. In both companies, I get to use my skills in data and management while enjoying my love for outdoor activities and dance. I am looking forward to volunteering for the WIA Conference and being a bigger part of this great community. I am based out of the San Francisco Bay Area and I hope to make many new friends and contacts while making myself a useful resource for others.
Mai Alowaish is a Lead Analytics Consultant at InfoTrust LLC based in Blue Ash, Ohio. Mai is an advocate of supporting and empowering the women in analytics and tech overall. Mai is a mentor at the Digital Analytics Association, and a previous speaker at the WIA2019. Mai is also a volunteer in the Tech Corps Analytics Program and OSU’s Women in Data Science Summer Camp, as she’s passionate about helping the youth get into STEM and learn about data.
Deneisha is an ambitious, young professional who is passionate about executing solutions aimed towards incorporating change. She is dedicated to spending her time on activities that positively impact those around her. Deneisha is a Business Intelligence Analyst at The Wendy’s Company and serves on the leadership team for two Wendy’s Employee Networks. Prior to joining Wendy’s, she helped over 40 technologists further their careers as an IT recruiter. Deneisha is an Ohio University Alum and enjoys integrating her Sociological background with the tech industry, which fuels her passion for driving the importance of Diversity and Inclusion in Corporate America. Deneisha is also a founding member of the local, Columbus organization, #BlackTech614. Outside of working, she enjoys dancing, writing, and booking spontaneous trips on Skyscanner.
Sara is excited to be coming back for her second year on the committee for the 2020 Women in Analytics Conference. She is currently an Analyst in Finance Operations at Cardinal Health and has many years of experience in insurance claims and fraud analytics, where she began her journey with data. In her personal time, Sara enjoys running, dancing and reading and will take advantage of any opportunity that will put her near the ocean.
Jake is a Senior Insights Analyst at Express focused on omni-channel operations, store initiative testing, and consumer research and insights. Prior to joining Express, he developed his insights and analytics experience across multiple industries, including Fashion Retail, CPG, Government, Nonprofit, and SaaS. Jake is passionate about data visualization and enjoys teaching various analysis, visualization platforms, and methodologies including data storytelling, visualization, Tableau, advanced Excel/Power Query/VBA, SQL, and Microstrategy Dossier. Outside of work, Jake spends his time raising two curious kids, volunteering for political campaigns and organizations, and producing short films with his best friends.
Sahanna Bhatt is a clinical informatics analyst on the Population Health Analytics team at OhioHealth in Columbus, Ohio. As a population health data analyst, she is passionate about improving healthcare delivery and outcomes through technology. At OhioHealth, Sahanna delivers analytic solutions for business and healthcare clients across the enterprise. Prior to joining OhioHealth, Sahanna consulted for Booz Allen Hamilton, in Norfolk, Virginia, where she supported the Navy and Marine Corps Public Health Center as a clinical epidemiologist. Her educational background includes a Masters of Public Health (MPH) in Epidemiology from Columbia University (with a graduate certificate in infectious disease epidemiology) and a Bachelor of Science (BS) in Environmental Public Health from The Ohio State University. She is currently working towards a Masters of Science (MS) in Data Science (with a specialization in Artificial Intelligence) from Northwestern University’s School of Professional Studies.
Jen Heider is part of the Data & Analytics team at Huntington National Bank. After graduating as the pilot student for the OSU BS Industrial and Systems Engineering Data and Analytics track, she began her career as a data science consultant at IBM, where she built her data science skills on projects across multiple industries. She then went on to work as a Data Scientist at Express. Jen is currently pursuing her MS in the ISE Data and Analytics track at OSU part-time while working for Huntington. In her free time, Jen loves reading, running, and outdoor activities of all kinds.
Katie Sasso-Schafer, Ph.D. is a Data Scientist at the Columbus Collaboratory. Katie received her Ph.D. from The Ohio State University with a focus on Experimental and Quantitative (minor) Psychology. During her Ph.D. program she worked as a graduate research associate at the Nationwide Insurance Center for Advanced Customer Insights, using experimental methods and statistical analyses to optimize customer outreach and develop novel risk assessment strategies. At the Columbus Collaboratory, Katie works on a variety of data science projects across several industries. She also enjoys leading Use Case Discovery Workshops and managing project progress across the team. Outside of work, Katie is an avid R user and co-organizer of R-Ladies Columbus meet up. She has been a member of the WIA team member since 2017 with a focus on content and speaker curation.
Lauren Burke is a Data Scientist at Abercrombie & Fitch who loves finding creative solutions to complicated problems. She graduated in 2017 from The College of Wooster with a Bachelor’s in Mathematics. At Wooster, Lauren completed a Senior Thesis investigating machine learning heuristics as solution techniques to a large-scale Traveling Salesman Problem. Lauren is passionate about initiatives that promote women and girls in STEM, currently serves on the COSI YP Board and as an advisor for #BUILTBYGIRLS, and enjoys reading, hiking, rock climbing in her free time.
Rehgan graduated from The Ohio State University in 2016 with a Bachelor’s Degree in Industrial and Systems Engineering specializing in Data Analytics. She has taught Introduction to Data Science courses to MBA students across the US. During her time at is the Product Manager at Open Data Group. At OSU, she launched the Big Data and Analytics Association and hosted the inaugural Women in Analytics Conference in order to showcase women doing amazing things in the analytics space. Outside of work, Rehgan enjoys traveling, scuba diving, and hiking.