Business
Challenge:

Optimizing Quarterly Budget Utilization in a Multi-Region Training Program

The client, a global technology leader in software, services, and solutions, operates a global training ecosystem through a network of Partners, with quarterly budgets allocated across multiple regions to fund training delivery. 

  • Quarterly budget utilization was hard to forecast accurately, with approved budgets often not translating into actual in-quarter training delivery.
  • The client needed a way to improve forecast accuracy, maximize in-quarter utilization, and prevent budget leakage, all without increasing overall spend.

TurnB Approach


Building an Execution-Aware Forecasting Model 

  • Analyzed historical budget consumption patterns and partner delivery timelines across regions.
  • Factored in real-world execution constraints, including delivery lead time, reporting delays, and quarter-end cutoffs.
  • Modelled realistic in-quarter utilization instead of relying on approved budgets alone.

Flagging Risk Early 

  • Identified budgets at risk of underutilization early in the quarter, not at quarter-end.
  • Quantified likely spillover into future quarters.
  • Replaced reactive end-of-quarter fixes with proactive planning.

Optimizing Budgets Against the Forecast 

  • Assessed regional execution readiness using historical performance.
  • Reallocated budgets from slower-executing regions to high-consumption regions.
  • Prioritized budget approvals based on the likelihood of in-quarter execution.

Managing Unused Training Investments 

  • Identified training investments at risk of going unused due to approaching deadlines.
  • Worked with regional stakeholders to accelerate training delivery where possible.
  • Reallocated unused capacity to regions with stronger execution readiness and learner demand.

Making It Repeatable 

  • Established a scalable forecasting and optimization framework, applied consistently across quarters.
Approaches background
Infograph

Implications

  • Achieved approximately 95% accuracy in quarterly budget utilization forecasting.
  • Reduced budget spillovers across quarters, strengthening forecast reliability and financial discipline.
  • Improved region-level budget utilization through data-driven reallocation.
  • Enabled finance teams to plan future quarters more realistically, accounting for expected spillovers.
  • Prevented avoidable budget expirations through proactive stakeholder engagement.
Implications
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