Is Digital Storytelling the Future of Data Science? 

Recent developments in videography have largely fueled the rise of Big Data — to the point that online videos will account for eighty percent of global internet traffic by the end of this year.

In our courses on digital transformation, we stress the importance of videographics in the present and future of data science. We have have been using the online video creation platform Moovly to help our students and faculty practice what we preach in the presentation of their case studies, course offerings, and programs.

Digital storytelling is the practice of building a narrative around datasets to help convey the meaning of the data in a powerful and compelling fashion. As Angela Bassa, iRobot’s director of data science, points out “A huge part of data science is to communicate or persuade in trying to drive home the results of an analysis”. Anthropologists such as Claude Lévi-Strauss and Vladimir Propp demonstrated long ago the importance of the structure of the stories we tell — the meaning of the story comes how the story is put together rather the data itself. More recent studies of both traditional and business storytelling have demonstrated the universality of these narrative structures.

Does video bring business data to life? According to research by Mayer and Anderson, the stimulation of an audience’s visual and auditory senses increases their understanding of the subject under study by 74%. Matt Young argues that viewers retain 95% of a message when they watch it in a video compared to 10% when reading it in text. Business videos are increasingly popular on the Web; Forbes Insights suggests that 75% of business executives watch work-related videos at least once a week. Finally, Troy Anderson contends that the use of video in social media marketing increases the likelihood of social media visitors purchasing products, services, or ideas by 64%. The success of a Data Science team isn’t measured by their technical savvy but in their ability to influence managerial decision-making.

Human communication is conditioned as much by how we process experience as by hard, cold facts. In class and out, our associates, faculty and students have been using online video production platforms to produce video case studies, course résumés, program descriptions, and visual CVs. The intuitiveness of tools like Moovly, Lumen5, Piktogram, and StoryboardThat have allowed us to to focus most of our attention on heuristics, the Gestalt principles, data storytelling and visual communications. You can check out our recent productions on Instagram, Youtube, and LinkedIn

 In this issue :


How Data Science leads to better decision-making

We live in a time and space in which the which data is constantly mistaken for facts. Taking better decisions, rather than crunching the data, is the ultimate benchmark for improving management.... 


The  BAI 2018 Summer School on Data Science for Management

Designed to develop the mission-critical skills in applying data science to business decision-making, this year's session will use examples from Health Analytics and the Life Sciences ....


The  Business Analytics Institute

The Business Analytics Institute is a service provider dedicated to helping both managers and management improve their ability to take tough decisions...


New MasterClass : The High Road to GDPR

In our GDPR MasterClass we explore what the legislation is all about, how it will impact the practice of data science, and what you can do to turn this “threat” into an opportunity...


Is Digital Storytelling the Future of Data Science?

Online videos now account for eighty percent of global internet traffic - but what does this mean for Data Science?


Analytics for Management – a new academic textbook from BAI

What do future managers need to understand about data, decision science and machine learning to add value to their organizations and their clients?