About us
1 in 5 investors are only using social media to research new investments
1 in 5 (21%) investors are relying solely on social media sites such as Instagram, TikTok and Twitter to research new investments.
Kemi Ojogbede is a content marketing and data manager at Finder. She oversees the creation and upkeep of data stories. Kemi has an MSc in Data Science and a prior MA in Contemporary Literature. She has previously written for The Mirror and The Week UK.
Expertise
- Data visualisation
- Data analysis
- Web scraping
- Predictive modelling
- Content marketing
- Data journalism
Education
- Master of Science, Data Science | Birkbeck, University of London
- Master of Arts, Contemporary literature and cultural theory | Birkbeck, University of London
- Bachelor of Arts, English with Creative Writing | University of Nottingham
Featured publications
Industry insights from Kemi Elizabeth Ojogbede
We recently sat down with Kemi to talk industry trends.
What do you think is a major trend in data visualisations this year?
People’s attention spans have been getting shorter, which sets a challenge for data and visual storytellers. This, coupled with Google’s switch to mobile-first indexing, has triggered a trend in simpler visuals catering more to mobile than desktop. This minimalist approach makes visuals easier to understand. With descriptive titles, labels and legends, readers get a seamless user experience. And using high-contrast colours, alt text and clear navigation can help boost accessibility for those with colour blindness and cognitive difficulties. While different datasets present their own unique features, overcomplicating a visualisation for the sake of aesthetics can mean we exclude some users because of a range of factors - including the size of their device. One visual trend that combats this is “scrollytelling”: a dynamic display method that reveals the data visualisation as readers scroll down. The move towards simplicity could be an after-effect of the fake news era. Intuitive visualisations - coupled with clear references to sources and methods - give readers the data in a straightforward manner that saves a lot of time and ultimately builds trust. In a nutshell, the task of creating a data visualisation has become really simple: Say it quick, and say it well.
