How would you proceed with project deliverables that are contingent on unreliable data

Question

We are facing a challenge where key project deliverables depend on data sources that have proven to be unreliable. How can we proceed effectively while minimizing risks and ensuring project objectives are met?

Answer 1

Dealing with unreliable data sources can be tricky, but here’s how I’d proceed to minimize risks and keep the project on track:

• Identify which deliverables are affected and how critical the unreliable data is to achieving project objectives. This helps prioritize what needs immediate attention.
• Inform stakeholders about the situation and its potential impact. Transparency builds trust and helps align expectations.
• Develop a backup plan for data gaps. This might include alternate data sources, approximations, or manual processes as a stopgap.
• Implement checks to validate and clean data at the point of entry. Automated validation processes can catch problems early and minimize their impact on deliverables.
• If feasible, incorporate additional or alternative data sources to minimize dependence on a single unreliable source.
• If unreliable data significantly impacts deliverables, consider adjusting the project scope or timeline to accommodate the limitations.