The hidden cost of data fragmentation

We surveyed 500 operations leaders across B2B SaaS companies. The average team spends 4.2 hours per week per person just locating data before any analysis begins. That is time spent figuring out which tool has the number and how to get it out.

The invisible cost

Multiply that across a team of ten and you have a full-time headcount devoted entirely to data wrangling. The cost is invisible because it is distributed across every person in small, daily increments, but it compounds into slower decisions, missed signals, and analyst burnout.

The structural cause

Metrics are defined and stored differently across tools, with no shared layer connecting them. Revenue lives in billing, usage in product analytics, and account health in CRM. A connected data layer eliminates the manual work between them.