Predictive Analytics
Statistical forecasting of schedule, cost and risk outcomes, grounded in your program history and presented as honest ranges.
See the likely outcome while it can still be changed.
Most project reporting describes what has already happened. Predictive analytics uses patterns in your own history and current performance to estimate what is likely to happen next: which milestones are drifting toward a slip, which cost accounts are trending past their budgets, which risk profiles resemble past overruns.
We build forecasting models that a controls professional can interrogate. Features come from schedule, cost and progress data that genuinely carry signal, such as float erosion, logic churn and earned-value trends. Models are validated against held-back projects, explained in plain terms and expressed as P50/P80-style ranges rather than false precision. They are then placed inside the reporting your teams already use, as an early-warning input to judgment, not a replacement for it.
What we bring to Predictive Analytics
Senior practitioners, proven method and the right technology, specified line by line.
Use-case selection
Forecast targets chosen for decision value, not novelty.
INCLUDEDFeature design
Predictors drawn from float, logic, progress and cost behavior.
INCLUDEDModel validation
Statistical models tested against held-back history.
INCLUDEDExplainability
Each forecast accompanied by the factors driving it.
INCLUDEDIntegration
Forecasts surfaced in existing Power BI reporting.
INCLUDEDMonitoring
Accuracy tracked and models recalibrated as data grows.
INCLUDEDA clear path, milestone by milestone.
Every engagement follows a disciplined sequence, so you always know what happens next and why.
What you receive
- RB-20503-D01Use-case and data readiness assessment
- RB-20503-D02Validated forecasting models
- RB-20503-D03Model documentation and explanation notes
- RB-20503-D04Forecast views in Power BI
- RB-20503-D05Accuracy monitoring framework
- RB-20503-D06Recalibration plan
Technology we work in
Platform-fluent and vendor-independent. We work inside your environment, or recommend the one that fits.
What changes when we arrive.
Not activity. Results your board, your lenders and your teams can feel.
Emerging slips and overruns often flagged periods sooner.
Forecasts with stated confidence that support P50/P80 conversations.
Senior attention directed to where risk is concentrating.
What leaders ask us first.
Straight answers. If yours isn't logged here, raise it with us directly. A principal will respond.
How much history do we need?
It depends on the target. Portfolio-level forecasts benefit from many completed projects; activity-level models can work with rich update history from fewer. We assess readiness before recommending a build.
How accurate will the forecasts be?
We measure and report accuracy openly on your own data. Forecasts are always ranges with stated confidence, never guarantees, and they are designed to inform judgment rather than replace it.
Can people see why a forecast was made?
Yes. Every forecast shows the factors driving it, so planners and executives can challenge it on substance.
Portfolio Analytics
Analytics across the full capital portfolio: normalized benchmarks, recurring causes of delay, capacity and concentrated risk.
Executive Scorecards
Concise executive scorecards that tie strategic objectives to delivery, cost, safety and risk measures, with clear owners and thresholds.
Power BI Dashboards
Fast, governed Power BI reporting built on sound semantic models, connected to your controls systems and designed around real decisions.
Command the date you announced.
Book a 45-minute program review with a senior principal. You will leave with an independent read of where your schedule and cost really stand, and the three moves that matter most.