Integrated performance review
Connect planned value, earned value and actual cost where a suitable measurement basis exists. Let users inspect progress methods and data coverage before interpreting indices or comparing projects.
Business platforms
Connect cost, schedule, risk and performance information in one decision-making view.
Project performance becomes difficult to interpret when cost, schedule and risk information use different dates, structures or assumptions. A favourable cost variance may coexist with delayed progress, and a forecast can appear precise while excluding the risks or changes that will shape the final outcome.
We build project controls dashboards that connect the control structure behind the numbers. Baselines, actual costs, measured progress, forecasts and risk provisions are presented with their definitions and effective dates. The purpose is to support a defensible control conversation, not simply to display more indicators.
Connect planned value, earned value and actual cost where a suitable measurement basis exists. Let users inspect progress methods and data coverage before interpreting indices or comparing projects.
Show current forecasts alongside alternative assumptions, remaining work and uncertainty. Separate an approved forecast from a modelled scenario and explain what changed between reporting periods.
Track agreed reserve categories, authorisations and movements with links to relevant risks or changes. Make the organisation’s reserve treatment explicit rather than combining differently governed provisions into an unexplained total.
Map work and cost structures, reporting dates, baseline ownership and progress-measurement methods. Clarify which measures are meaningful for each project before standardising portfolio displays.
Connect schedule, finance and risk records using stable identifiers and defined cut-offs. Identify missing actuals, unmatched work packages and inconsistent dates before calculating headline performance.
Document formulas, inclusion rules and forecast assumptions. Keep approved baseline changes and reserve movements traceable so a historical trend cannot be explained only by its latest total.
Present trends, exceptions and forecast drivers with drill-down to supporting records. Show uncertainty and data-quality limitations alongside the information used in management decisions.
Reconcile representative periods and test challenging scenarios such as late actuals, scope changes and revised progress. Agree ownership of interpretation, correction and release.
The sequence is tailored to the agreed scope, dependencies and risk. It describes our delivery approach, not a fixed timeline or performance guarantee.
The proposal identifies the deliverables, acceptance evidence, responsibilities and support arrangements included in your engagement.
Track unresolved differences between dashboard measures and the approved source records for a reporting period.
Compare dated forecasts with subsequent outcomes, retaining the assumptions and scope understood when each forecast was made.
Check whether significant interventions and reserve movements can be linked to evidence, authority and a recorded rationale.
These are measures to discuss and baseline. Targets are agreed for the specific system and data; no universal improvement percentage is assumed.
Useful earned value reporting depends on a suitable baseline, meaningful progress measurement and aligned actual costs. We assess those foundations first rather than producing indices from incompatible or incomplete inputs.
Scenario simulation can be included where scope, input distributions and dependencies are defensible. Results should state their assumptions and model limitations; a percentile is not a guarantee about the future.
We document the control framework you adopt with the responsible specialists. Reserve categories and release authority must be explicit, particularly where different contracts or organisational methods use similar terms differently.