Data storytelling is the process of presenting data insights using narration and visualization.
This insight is from the Exploding Topics newsletter. Speaking of insights:
75% of the data companies collect remains unused.
60% of investments in analytics capabilities go to waste because insights aren’t utilized properly.
To pull an Avinash, are analyzing and providing value or just puking data?
Every platform is basically a Shorts platform.
Don’t change the content, change the medium of delivery.
I recently mentioned some of Google’s post-cookie plans are a bit controversial. Like this one:
Chrome’s “Enhanced Ad Privacy.” That’s the technology that, unless switched off, allows websites to target the user with adverts tuned to their online activities and interests based on their browser histories.
Part of the reason is the apparent dark patterns in the consent system.
If you have to trick users/customers, you’ve probably lost the plot.
Apple Boosts Spending to Develop Conversational AI
The marriage of voice assistants and LLMs is coming.
Siri + Shortcuts + Apple’s GPT is an intriguing combo to think about.
Not far away—or perhaps very far away—depending on who did the measuring
-The Girl in the Tower by Katherine Arden 📚
A metric on its own is meaningless. It’s in context that it takes on meaning. And that context depends on the (data) storyteller.