Planning for uncertainty with simulation and optimization
How companies can move beyond point forecasts by combining scenarios, predictive models and optimization to improve decisions under volatile conditions.
Read articleRelated macro
Analytics, data and decision systems
Turn data, analytics and decision systems into clearer insight, stronger choices and more effective execution.
Discover the macroEditorial overview
Articles
From dashboards to decision systems
Why the next frontier in analytics is not more reporting but better decisions�supported by integrated data, explicit decision logic and continuous performance feedback.
Read articleFocus
Does the model understand how your industry works?
Analytical performance depends on representing the economics, constraints and relationships that actually determine outcomes within the sector.
What is actually driving the number?
Advanced analytics should separate the factors behind performance rather than provide increasingly sophisticated descriptions of the outcome.
Strategic challenges
Most performance systems look backward
Historical reporting remains dominant even when the decisions managers face depend on drivers, scenarios and changing future conditions.
AI raises the cost of ambiguous data
When machines consume enterprise information at scale, inconsistent definitions and weak provenance can propagate faster than humans can detect them.
POV
Accuracy is not the objective
A predictive model should be judged by whether it improves the decision it exists to support, not by statistical performance in isolation.
A decision model should expose disagreement, not hide it
When stakeholders disagree, the model should reveal whether the difference comes from evidence, assumptions, probabilities or values.
Strategic impact
Drivers make performance more actionable
Connecting outcomes to the factors behind them allows managers to understand where intervention can influence future results.
Scale comes from reuse, not team size
Shared capabilities, methods and delivery patterns allow analytical capacity to expand without reproducing the same work across business units.
What we observe
The model often begins after the decision has been framed badly
We frequently see sophisticated analysis applied to alternatives, objectives or assumptions that were never challenged at the outset.
Complex models often answer simple questions badly
We frequently see analytical sophistication increase while the business question, assumptions and intended decision remain poorly defined.