Scientist to Storyteller: How to Narrate Data
It's uncomfortable for me to admit this: Analysts aren't paid for the elegance of their Python, the resplendence of their R, or even the complexity of their CSV files. But after years of leading social analytics and research teams, and even architecting the platforms they use, I've come to a harsh reality: I and my fellow Analysts are paid for the meeting AFTER the report. The meeting where the C-suite actually remembers what we said, why it was important, and decides to apply it in a business decision.
So join me in a session where we will start from the analog human and work our way back to the digital data. We will unpack the biology, psychology, economics and Freakonomics that make humans tick. We will understand what a data-driven insight truly IS, and how we can help organizations not only understand it, but act on it. We'll talk tools and tips, but most importantly, we'll cover the techniques you can use to become an Agent of Change, rather than just a Janitor of Data.
Additional Supporting Materials
- We throw around the word "insight" all the time, but what does it really mean? How can I tell the difference between an "insight" and a "finding?"
- What kinds of ideas are humans naturally wired to circulate and spread among themselves? What aspects of our biology and psychology cause us to generally attach to one idea over another?
- What kinds of ideas can data create that can truly change an organization? Who are the personalities I will have to convince through the data I've uncovered, and how can I meet them where they are?
- What does it mean to be a Data Narrator? Can you really tell stories though data? Isn't that just touchy-feely-squishy stuff?
- What can I start doing tomorrow to turn my reports into stories, and turn me from a Data Janitor into a valuable voice of truth in my organization?
- Eric Swayne BuzzShift
Eric Swayne BuzzShift
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