Pain Point:
Outdated forecasting methods hinder accurate budgeting and strategic planning.

Solution:
Adopt a predictive analytics tool like BudgetPredict that leverages historical data to forecast trends.
– Cost: ~$6,500/year
– Implementation Timeline: 7 weeks

Scrum Process:

• Backlog: Gather historical budget data and key forecasting parameters.
• Sprint 1 (2 weeks): Develop data ingestion and cleansing pipelines.
• Sprint 2 (3 weeks): Build predictive models and integrate with dashboards.
• Sprint 3 (2 weeks): Validate forecasts with stakeholders and deploy.

Outcome:
Improved forecasting accuracy and more strategic, data-driven budgeting decisions.