Why we can't prioritize or execute with coherence
After talking with dozens of data leaders this year an eerily similar message is surfacing.
Noise and distractions are killing data teams.
It's easier than ever to build something. Buy something. Install something.
It's harder than ever to define what you should build and how it matters.
AI makes it easy to build stuff. AI offers no help defining what to build.
We are perpetually trapped in a chaos of our own making. Lost in the hype of graphs, OKRs, KPIs, Metric Trees, and SaaS-mania.
We track too much crap.
Consequentially, we can't prioritize or execute with coherence.
Two key things are required to change this pattern.
Get remarkably clear on what success means for your data team.
Ignore everything else.
This isn't easy by any means. It takes diligence from data leadership to ruthlessly commit to a vision of data.
What is the cost of not doing this?
Team morale tanks
Talent leaves
Leadership doesn't buy-in on new initiatives
Leadership starts ignoring you
Projects don’t get completed, objectives aren’t met
It’s a vicious cycle.
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If you want to break this cycle and build a high-performing data team here’s your chance to do something about it.
On Sept 10th, you can join a 4-hour live and interactive workshop to empower you with a defined purpose for your data team and a vision for how to execute that vision.
This is a one-time offer and I don’t know if I will do it again.
I made this for you,
Sawyer
