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
What would change the decision?
A useful decision model identifies the evidence, assumptions and uncertainties capable of changing which alternative should be preferred.
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
One forecast can hide the decision that matters
Expected outcomes can obscure tail risks, thresholds and alternative conditions that would require a fundamentally different response.
Enterprises produce data faster than they create information value
Large data estates can continue expanding while important users still recreate datasets and struggle to find reliable information.
POV
You do not need to fix all your data before AI
The real requirement is to fix the data that matters for the AI you intend to deploy, at the level of reliability that use case demands.
Alternative data should have to earn its place
If an external signal does not materially improve understanding or prediction, its novelty is irrelevant and its complexity is a cost.
Strategic impact
Domain knowledge improves analytical specification
Understanding the sector helps identify relevant variables, relationships and constraints before statistical methods are applied.
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
Forecasts are often disconnected from action
We frequently see sophisticated predictions delivered into planning processes that still rely on manual rules for the decisions that follow.
Renaming a dataset does not make it a product
We frequently see existing tables relabelled as data products without defined users, service expectations, ownership or lifecycle management.