85% of data projects fail.
Yikes! How can we do better?
@jessetanderson at #YowLondon
“AI is not a strategy.” @jessetanderson #YowLondon
You need about ten data engineers and one data scientist.
also an operations team.
@jessetanderson #YowLondon
That vendor may have told you “Use my product and you’ll have AI in a day”
No. You need a realistic timeframe that is NOT “when it’s ready.”
@jessetanderson #YowLondon
Focus! Fight a few battles well, not many battles poorly.
10 teams doing 20 things at once => “Nothing. Nothing happens.”
@jessetanderson #YowLondon
Find the overlap between what is technically possible (in the timeframe)
and what has the highest business value.
Look for a 10x return (because sometimes it’ll be negative).
@jessetanderson #YowLondon
Installing the tech won’t get you the skills. Hiring people with the skills won’t change your organization to work with them.
@jessetanderson #YowLondon
“Data Mesh is a sociotechnical strategy” @jessetanderson #YowLondon
“Put a hard thing in people’s hands without skills, sets them up to fail”
Data Mesh represents a significant amount of organizational change.
What type of company is it applicable for?
- large orgs with complexity.
Data Mesh for startups? Don’t.
@jessetanderson #YowLondon
“Who of you have a notebook in production?”
… some hands …
“Yeah. That’s terrible. I’m sorry.”
@jessetanderson #YowLondon
Data scientists learn just enough programming — a single-player game.
Software engineering is multiplayer.
The tactics are different.
eg: in math, you don’t care what a variable is named. “a” is fine.
@jessetanderson #YowLondon
A data team needs a relationship with their customer.
“The data warehouse team didn’t work with their customer. They just said no”
@jessetanderson #YowLondon
(I’m throwing him off by laughing really loud)
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