Platform / Analytics
Analytical depth you can put to work.
Investigate drivers, build and evaluate models, examine uncertainty and compare scenarios inside the same environment where decisions are made.
01Interactive analytics
Find the drivers behind the result.
Move from an operating signal to the segments, records and relationships that explain it.
See the pattern
Use clear measures and advanced visualizations to establish what changed.
Follow the drivers
Cross-filter related views and compare the business dimensions behind the movement.
Inspect the evidence
Drill into supporting records without losing the analytical context.
02Statistical and machine learning
Bring the right analytical method to the decision.
Build models with explicit purpose, assumptions and evaluation, then present the result in terms the decision-maker can examine.
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| Question | Analytical discipline |
|---|---|
| What is likely to happen? | Forecasting with evaluation against relevant alternatives |
| What explains the change? | Driver analysis with interpretable relationships and supporting evidence |
| Which cases need attention? | Statistical or machine-learning assessment with visible criteria and review |
03Uncertainty and interpretation
Show what the model knows—and what it does not.
Represent ranges, assumptions and model limits alongside the estimate so uncertainty can inform the operating choice.
Ranges
Distinguish a central estimate from the uncertainty around it.
Assumptions
Make the inputs and judgments that shape the result visible.
Evaluation
Compare performance and alternatives in the context of the decision.
04Scenario analysis
Examine the alternatives before you act.
Change assumptions, apply operating constraints and compare consequences across the outcomes that matter.
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| Scenario input | Consequences compared |
|---|---|
| Demand outlook | Availability, stock exposure and working capital |
| Supplier lead time | Replenishment timing, service risk and inventory requirement |
| Pricing choice | Demand response, contribution and operational constraints |
05Lineage and recomputation
Trace the result to the work behind it.
Connect each displayed result to its source inputs, transformations and model so changes can propagate through declared dependencies.
A selected number can reveal the records, calculations and assumptions that contributed to it. When an input changes, affected downstream work can be identified and recomputed.
06Operational applications
Put analysis where the decision happens.
Turn models into interactive dashboards, executable pages and working applications shaped around a specific operating process.
Interactive
Let people explore, change assumptions and compare results directly.
Connected
Keep the application tied to its data, model and downstream deliverables.
Adaptable
Develop the logic and interface as the business and its questions change.
Platform / Analytics
Make analytical depth part of everyday operations.
Talk with Frontier about the decisions, evidence and models that could move your business forward.
