Forecasting & Trend Analysis
Part of the Business Analyst Roadmap
In short
'How many support agents will we need in December?' Every business asks questions about the future. Simple trend analysis gives a reasonable answer, as long as you're honest about how uncertain it is.
Projecting future values based on historical patterns — from a simple trend line to more structured methods, always paired with an honest sense of the forecast's uncertainty.

Think of it like this
The monsoon forecast
The weather department doesn't promise rain at 3 pm on a date. It says the monsoon will likely arrive around early June, give or take a few days, based on past patterns. A good business forecast is like that: a likely range, not a promise.
Watch it happen
Smoothing monthly orders with a 3-month moving average
1/5Six months of orders, in hundreds. The numbers bounce around, so the trend isn't obvious.
The big ideas
What you need to know
Trend
The general direction over time, up, down or flat, once you look past the month-to-month bumps.
Seasonality
Patterns that repeat, like festive season peaks or exam month dips. Compare December with last December, not with November.
Simple methods first
Moving averages and a straight trend line often do the job. Complex models need more data and expertise.
Always give a range
Say 'between 14,000 and 16,000 orders' rather than '15,212'. Fake precision makes people trust a forecast too much.
See it in code
A tiny example
1=AVERAGE(B2:B4)2=FORECAST.LINEAR(7, B2:B7, A2:A7)3=TREND(B2:B7, A2:A7, 7)Column A holds month numbers 1 to 6, column B the orders. Line 1 is one moving-average value. Lines 2 and 3 project month 7 using a straight trend line.
Save yourself the pain
Common mistakes
Oops
Drawing a straight line from three months of data into next year.
Do this instead
Use as much history as you have, check for seasonality, and keep forecasts short-range.
Oops
Presenting one exact number as 'the forecast'.
Do this instead
Give a likely range and state your assumptions, like 'assumes no price change'.
Your mission
Forecast your own spending
Quick check
An online store wants to forecast November orders. Which comparison is most useful?
Go deeper
- 1Build a simple trend line forecast for a sample time series in Excel.
- 2Learn why every forecast should come with a confidence range, not a single precise number.
- 3Practice explaining forecast assumptions clearly to a non-technical stakeholder.
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