Scope creep is the silent killer of many well-intentioned projects. New requirements pile up, and suddenly the budget is blown. Data-driven decision making offers a shield against this risk through predictive analytics. By analyzing past project data, we can identify …
Scope creep is the silent killer of many well-intentioned projects. New requirements pile up, and suddenly the budget is blown. Data-driven decision making offers a shield against this risk through predictive analytics.
By analyzing past project data, we can identify early warning signs of scope creep—such as frequent change requests or undefined deliverables—and address them proactively. This ensures that the core objectives of the project remain the focus.
Our recent water sanitation project serves as a case study: analytics flagged a potential delay due to supply chain issues weeks in advance, allowing us to adjust the schedule and keep the scope intact.