I haven't seen every team problem, but I have a seen a lot of them
Common Data Team Problems
Your Team Is Drowning in Requests
Every day feels reactive. No time for planning. No space to iterate and improve.
You’re Reinventing the Wheel
Each team member models, transforms, and delivers data differently.
Nobody Knows What Done Looks Like
Projects drag on. Definitions shift. Rework is constant.
Your Best People Are Burnt Out, And Leaving
Your team is stuck between rising expectations, archaic methodologies and complex practises.
Your Delivery Process Is Held Together With Hope
Slow delivery, broken pipelines, fragile dashboards, constant last-minute fixes.
You’ve Got All the Latest Tools, But No Throughput
You’ve invested in modern data stacks, but delivery still lags. The tooling changed, but the bottlenecks didn’t.
Your Team Has No Time to Upskill
Everyone’s too busy doing the work to learn better ways to do the work.
Stakeholders Don’t Trust the Data
Stakeholders question every number. Nobody knows where the truth lives.
You’re Agile in Name, Not in Practice
You’re “doing sprints” but still shipping slowly, without confidence or consistency.