Enterprise Travel Policy Cost Governance Model

Strategic Finance Initiative - 2,069+ Annual Travel Legs

Role

Consultant (Finance Operations)

Industry

Corporate Finance / FP&A (Cost Governance & Policy Modeling)

Scope

Cost governance modeling, ticket-level data restructuring and executive policy impact simulation.

Strategic Objective

Architect and deploy a financial simulation framework to quantify enterprise-wide exposure associated with implementing a Business Class upgrade policy for long-haul travel.

The model informed executive policy discussions by forecasting incremental spend under alternative eligibility thresholds (10+ vs 12+ hours).

Strategic Objective

Architect and deploy a financial simulation framework to quantify enterprise-wide exposure associated with implementing a Business Class upgrade policy for long-haul travel.

The model informed executive policy discussions by forecasting incremental spend under alternative eligibility thresholds (10+ vs 12+ hours).

Complexity & Data Risk

  • The travel dataset contained:

  • Multi-leg ticket segmentation causing duplicated cost entries

  • Mixed currencies

  • Inconsistent geographic formatting

  • Non-standardized duration records

  • Without restructuring, cost exposure projections would have been materially overstated.

What I Architected

  1. Data Governance Framework

  • Reconstructed 2,069+ annual travel legs into controlled ticket-level financial architecture

  • Eliminated duplication risk inherent in multi-leg ticket accounting

  • Standardized duration metrics for threshold logic integrity

  • Designed repeatable ETL process via Power Query

  1. Policy Simulation Engine

  • Built a dynamic, parameter-driven cost model that:

  • Segmented flights into duration exposure tiers

  • Applied adjustable premium uplift assumptions (2.0x–3.0x multiplier)

  • Calculated incremental exposure per eligible ticket

  • Aggregated total incremental annual cost

  • Quantified % increase vs baseline spend

  • The model supported rapid scenario testing without structural redesign.

Executive-Level Output

Delivered decision-grade summary:

Policy Threshold | Eligible Legs | Incremental Cost ($) | % Increase vs Baseline |


Enabled leadership to:

  • Evaluate cost sensitivity to eligibility changes

  • Understand non-linear exposure growth

  • Assess budget impact prior to implementation

Business Outcome

  • Quantified enterprise exposure across 2,069+ travel legs

  • Prevented misstatement risk from duplicated leg costs

  • Influenced executive-level travel policy evaluation

  • Established reusable governance modeling framework

Business Outcome

  • Quantified enterprise exposure across 2,069+ travel legs

  • Prevented misstatement risk from duplicated leg costs

  • Influenced executive-level travel policy evaluation

  • Established reusable governance modeling framework

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Alina Augustine

Copyright 2025 by Alina Augustine

Alina Augustine

Copyright 2025 by Alina Augustine

Alina Augustine

Copyright 2025 by Alina Augustine