2. Financial planning and forecasting
Once data is gathered and organized, the next step is to develop financial plans and forecasts. This involves projecting future financial outcomes based on historical data, market trends, and strategic initiatives. It's about setting expectations and direction.
Common financial planning methods include:
- Driver-based planning: Uses key operational metrics (drivers) to predict financial outcomes (e.g., predicting sales revenue based on website traffic and conversion rates).
- Zero-based budgeting (ZBB): Requires justifying every expense from scratch for each new period rather than simply adjusting the previous period's budget.
- Rolling forecasts: Continuously updating the forecast over a set period (e.g., 12-18 months), adding a new period as the current one concludes.
- Scenario planning: Modeling different potential future situations (e.g., best-case, worst-case, likely-case) to understand potential impacts and prepare responses.
Ultimately, robust planning and forecasting enable more informed strategic decisions and lay the groundwork for effective resource allocation in the budgeting phase.
3. Budgeting
Budgeting translates strategic plans and forecasts into actionable financial targets for specific periods, typically a year. It allocates resources to different departments or initiatives and incorporates detailed budgets for jobs derived from job costing while setting spending limits.
The budget serves as a benchmark against which your business will measure actual performance. This process often involves collaboration between finance and department heads to ensure alignment and buy-in.
4. Monitoring and analysis
This ongoing stage involves tracking actual financial performance against the budget and forecasts. FP&A teams analyze variances (the differences between actual results and planned figures), investigate the root causes, and report findings to stakeholders. This provides critical feedback for operational adjustments and future planning cycles.
Common FP&A key performance indicators (KPIs) include:
- Gross profit margin
- Net profit margin
- Operating cash flow
- Revenue growth rate
- Customer acquisition cost (CAC)
- Customer lifetime value (CLTV)
- Budget vs. actual variance
- Days sales outstanding (DSO)
Successfully managing this data collection process ensures a reliable foundation for the subsequent planning, forecasting, and analysis activities.