EX

Simulation & Prediction

Back to journey: Cost & Capital Optimization

Scenario Simulation Workspace

Compare current state, no action, recommended, upside and downside scenarios for one journey or issue.

Journey

Cost & Capital Optimization

KPI under simulation

OPEX (QTD)

Current

USD 82.4M

Target

No stored target

Scenario outcome cards

Current State

Base case

Current trajectory with in-flight initiatives only.

Stated outcome
OPEX over budget (YTD): +$7.4M
Risk / trade-off
—
OPEX (QTD) in 6 mo
USD 82.4M ACTUAL
No Action*

No change

Keep current capex plan.

Stated outcome
$0
Risk / trade-off
Opex overrun continues
OPEX (QTD) in 6 mo
USD 93.54M SCENARIO
RecommendedRecommended

Reallocate to energy

Move rural capex to solar hybrid phase 2.

Stated outcome
$0.95M / yr opex saved
Risk / trade-off
Rural coverage delay
OPEX (QTD) in 6 mo
USD 71.26M SCENARIO
Expected value
Cost reduced: USD 950k expected
Alternative

Additional capex

Fund solar phase 2 with new budget.

Stated outcome
$0.95M / yr saved
Risk / trade-off
Capex +$2.6M; ROI dilution
OPEX (QTD) in 6 mo
not modelled

Not stored for this journey: Upside, Downside. Shown as a gap rather than invented.

Scenario comparison — stated value vs cost/risk (USD M)

Amounts parsed from each scenario's stored results; ★ = recommended. Non-monetary outcomes plot as zero.

Risk / return matrix

Top-left = high value for low stated cost/risk.

OPEX (QTD) — actual vs scenario paths

ACTUALFORECASTSCENARIO

Same projection as the journey Predict stage and the Forecasting page. Open full forecast →

Comparison table

ScenarioRoleAssumptionsProjected KPI (6 mo)Stated impactRisk / trade-off
Base caseCurrent StateCurrent trajectory with in-flight initiatives only.USD 82.4MBaseline—
No changeNo ActionKeep current capex plan.USD 93.54M$0Opex overrun continues
Reallocate to energyRecommendedMove rural capex to solar hybrid phase 2.USD 71.26M$0.95M / yr opex savedRural coverage delay
Additional capexAlternativeFund solar phase 2 with new budget.—$0.95M / yr savedCapex +$2.6M; ROI dilution

Scenario → decision

Recommended scenario: Reallocate to energy — $0.95M / yr opex saved; trade-off: Rural coverage delay.

No decision is saved here; the decision is recorded in the journey at Decide.

Source data, assumptions, methodology & limitations

Source data

  • Telecom KPI data (current period, target, prior)
  • Historical KPI trend data (monthly history Apr–Sep 2026)
  • Scenario library (assumptions, results, recommended flag)
  • Value realization records (expected / actual value)
  • Evidence records

Assumptions

  • No action: continues the 6-month stored trend (+1.86 per month).
  • Recommended action: reverses the trend at the same monthly rate (no stored target).
  • Scenario outcomes, costs and risks are as stored for each scenario.

Methodology

  • Scenarios of the selected journey are ordered Current State → No Action → Recommended → Upside → Downside → Alternatives.
  • With an originating issue, alternatives sharing no words with the issue move to the bottom of the table.
  • Projected KPI per scenario uses the shared deterministic forecast; only Current State, No Action and Recommended are modelled.

Limitations

  • Scenario outcomes are governed figures stored with each scenario — they are not re-computed by a simulation engine.
  • Forecasts are straight-line projections of six stored months; they ignore seasonality, shocks and interactions between measures.
  • Many KPIs have no stored target; where absent, the recommended path reverses the trend at the same monthly rate.
  • No downside scenario is stored for any journey; downside coverage is shown as a gap rather than invented.
Forecast horizon: 6 months (KPI projection); scenario outcomes as statedModel status: deterministic arithmetic — no AI or machine-learning model.
Evidence typeItemSource
methodology

Capital & Investment methodology

Track capex vs plan by programme; Compute ROI and payback per cohort; Link capacity added to revenue.

Finance Planning Dataset
assumption

Diesel price assumption

Diesel price held flat for the forecast horizon.

Finance Planning Dataset
methodology

Cost Optimization methodology

Allocate opex by function and unit cost; Benchmark unit costs; Track realised savings.

Finance Planning Dataset