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Forecasting

Advanced
14 min

What is Forecasting?

Forecasting uses historical data and statistical methods to predict future financial performance, helping organizations plan for growth.

Key Components:

  • Predicts future outcomes
  • Uses statistical methods
  • Identifies trends and seasonality
  • Supports strategic planning

Why it matters

Strategic Planning

Inform long-term strategy

Cash Management

Anticipate needs

Capacity Planning

Plan production and staffing

Investor Communication

Share expectations

Key Concepts

Time Series

Data over time intervals

Example: Monthly sales for 3 years...

Trend

Long-term direction

Example: 5% annual growth...

Seasonality

Regular patterns

Example: Higher Dec sales...

Moving Average

Smooths fluctuations

Example: 3-month average...

How to use

1

Gather history

3-5 years data

2

Choose method

Moving average, regression

3

Create model

Build mathematical model

4

Validate

Test on historical data

5

Generate forecast

Predict future

6

Update regularly

Refresh with new data

Example

Goal: Sales forecast using moving average
Jan100, Feb110, Mar105, Apr115, May120, Jun125
3-month average for July: (115+120+125)/3 = 120
Result: July forecast: ₹120,000

Pro Tips

  • •Use multiple methods: Combine forecasts
  • •Include confidence: Show range of outcomes
  • •Consider external: Economic indicators

Practice

Forecast next quarter's sales using moving average with provided historical data
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