Data is a Cycle

Data projects fail because we fix in straight lines what our clients experience in circles.

I’ve seen it constantly: we build to solve individual issues instead of the entire ecosystem, then watch them fall apart as soon as we leave.

And it’s all because data is a cycle.

A complex set of relationships where each of the six components depends on the next:
Sourcing ➡️ Ingestion ➡️ Storage ➡️ Governance ➡️ Visualization ➡️ Automation (and repeat)

What I’ve learned in building around this model is that clients don’t just want band-aids.

They want to know why their data keeps breaking.

That’s the foundation of Superposition’s assessment workshops.

Structured activities that turn this framework into a simple methodology any consulting team can use immediately to stop the classic ambiguity in the early stages of our work.

Alignment to needs, prioritization, and implementation roadmaps that clients *actually* understand and sustain.

Turning individual problems into properly scoped projects with clearer impact and bigger deals through the power of structured facilitation, gamification, and collaborative design that reveal the cyclical connections our clients never even think about.