Data Quality in Primavera P6 and MS Project
Data quality in Primavera P6 determines whether a schedule can support forecasts and decisions. A tidy bar chart can still hide disconnected activities, wrong calendars or stale progress. Repeatable checks matter when teams across Germany and Europe rely on the same report.
Set required fields and naming rules
Give activities unique IDs, clear names, accountable teams and appropriate WBS or activity codes. Avoid labels such as “remaining work” when several deliverables sit behind them. Consistent naming makes filtering, handovers and source tracing easier.
Look for gaps in schedule logic
Find open activities without a meaningful predecessor or successor, unusually long durations and fixed date constraints. Pay particular attention to milestones and links between supplier schedules. Each exception needs an explanation from the work owner; a passing automated check is not enough by itself.
Keep calendars and status aligned
Check that activities use the right working calendar and that actual dates match the agreed status date. An actual start in the future or an implausible remaining duration can distort the forecast. Fix the cause in the source schedule and record it for the next update cycle.
Run a quality review before reporting
Maintain a short list of checks with owners and deadlines. Compare key milestones with the last approved position and explain significant movement. Publish the critical path and finish forecast as control information only after outstanding errors have been assessed.
Frequently asked questions
Which P6 quality check should come first?
Start with missing or implausible activity relationships and the status date. These issues can directly distort the driving path and finish forecast.
Should a data error be fixed in the master schedule?
Where possible, correct it in the responsible source schedule and then import the checked version. This preserves data ownership and keeps the error from returning on the next import.
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