Project profitability is a critical metric for services businesses, yet fragmented systems make it nearly impossible to calculate accurately or timely.
Consider what calculating profitability actually requires: Total hours worked on the project by all contributors. Different labor rates for different roles and worker types.
Contractor costs. Tool and software costs allocated to the project.
Overhead allocation. Revenue recognized.
Now consider where this data typically lives: Hours in Toggl, or split across Toggl and spreadsheets for contractors. Labor rates in the HRIS.
Contractor invoices in the accounting system. Tool costs perhaps in a procurement system.
Overhead formulas in finance spreadsheets. Revenue in the CRM or billing system.
To calculate profitability, someone must extract data from all these sources, normalize it into a common structure, apply rates and allocations, and produce a number. This exercise takes hours or days and happens long after the project completes—often quarters later.
By then, the insights cannot inform anything. The sales team has already quoted similar projects using the same flawed assumptions.
Delivery has already staffed new projects using the same resource models. The feedback loop between profitability and future decisions is broken by data fragmentation.
A unified platform that connects time, costs, and revenue enables real-time profitability tracking. Project managers see margin throughout delivery, not months after.
Alerts fire when profitability drops below thresholds. Pricing for future projects benefits from accurate historical data.
Profitability becomes an operational metric that drives decisions rather than a historical curiosity.
The GitScrum Advantage
One unified platform to eliminate context switching and recover productive hours.
