How do data workflows become business bottlenecks?

A data workflow becomes a bottleneck when information cannot move cleanly enough for the business to make decisions or ship work.

Direct answer

Data workflow bottlenecks usually come from legacy data paths, duplicate systems, manual exports, unclear ownership, weak integrations, inconsistent definitions, or reporting processes that depend on a few people to reconcile information by hand.

Business impact

When data flow breaks down, teams lose speed, leaders lose visibility, and technology changes become riskier than they should be.

What to inspect

Balazs looks at data flow through a business lens.

Where information is created.
Where it is transformed.
Who owns it.
Which systems depend on it.
Where manual reconciliation appears.

Proof point

The Tech Velocity case study centres on a legacy data flow that was slowing delivery and creating avoidable risk.