Data Stories
Deep Dive
A videocast featuring expert data storytellers
The mission behind Data Stories Deep Dive is simple:
Teach everyone how to become better storytellers.
A videocast featuring expert data storytellers
The mission behind Data Stories Deep Dive is simple:
Teach everyone how to become better storytellers.
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In this episode, we spoke with Brent Dykes the author of Effective Data Storytelling: How to Drive Change with Data, Narrative, and Visuals about why narrative is crucial to data storytelling.
In this episode, we explored an audience-first approach to dashboard creation with Microsoft MVP Tommy Puglia.
Every story has characters. In an effective data story, they are the business priorities (e.g. relationships, markets, brands, and offerings).
In this episode, we explored the characters behind your data story and data management with Scott Taylor.
Artificial Intelligence (AI) is advancing rapidly, and improvements in three key areas–learning, human communication, and empathy–will help define the future of work. In this episode, we discuss what your own work might look like in the future, as well as how you can prepare and thrive in this new environment.
Selling your data story is just as important as the work put in to create it.
In this episode, we’re joined by Nicholas Kelly, Director of Analytics at Logic2020, to talk about the tips and tricks you can use to sell your data story and improve adoption.
Apple and Facebook using your user data to track the spread of COVID-19. Colleges faking data to improve rankings. A sales manager manipulating the numbers so they “look good”.
In this episode, we’ll be discussing the ethical and privacy implications of collecting, managing, and distributing data with Lexy Kassan from The Data Science Ethics Podcast.
Cassidy is joined by the cofounders of Mud City, a sales and operations agency to talk about data-driven growth.
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In this episode, Cassidy is joined by Zack Blois from Jellyvision to talk about forecasting, when it’s okay to make a data-driven pivot, and tips for Revenue teams during transformative times.
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This is the first episode in our 3-part series featuring workshops by analytics leaders. In this session, you’ll hear from Larry Birnbaum, co-founder and Chief Scientific Advisor at Narrative Science about how computers can talk to humans and the technology behind it.
In this episode, we will explore language models juxtaposed against systems that use language to bridge the gap between what the machine knows and what we need to understand.
This is the final episode in our 3-part series featuring workshops by analytics leaders. In this session, Donald Farmer will draw on his experiences leading multinational and highly-distributed teams to show how data management, analysis, and story-telling can not only help us to work better, it can actually help us to work in new ways which are more effective and more impactful.
In this episode, Cassidy is joined by Kimberly Herrington, Data Journalist at BlueCross BlueShield of Western New York.
According to Kimberly, anyone can work with data and analytics if they have passion, limitless curiosity, and are not afraid to fail.
Tune in to learn how she landed her dream role telling data stories, tips on how you can be a data journalist too, and her framework for career to help you land your dream role.
Guest cohosts Stef Caldwell and Ryan Kurt are joined by Avi Deshpande, Head of Architecture & Data Analytics, AI and ML at Logitech. Learn how Avi thinks about AI and ML outcomes and how to find the right business partners and use cases to deploy new technology.
Guest hosts Stef Caldwell and Ryan Kurt are joined by Alex Czurylo, SVP of Group Product Operations at Rakuten Advertising, about how he went from history major to data storyteller.
In this episode, CassidyShield is joined by Eric Weber, GM of Experimentation at Yelp. They discuss: How to get buy-in from your stakeholders and advocate for change, why the “people” side of analytics is just as important as designing something intuitive and cool, and also… what does the day of a GM of Experimentation look like?
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