Forecasting for Finance
Budgets, revenue and cash forecasts, rolling forecasts and scenarios, with spreadsheet arithmetic.
What this track covers
For finance and business teams who build and read forecasts. The difference between budget, forecast and actuals, driver-based and pipeline revenue forecasts, fixed and variable costs, the 13-week cash forecast and the cash needed before Lebaran, rolling forecasts, FX and inflation scenarios, variance analysis and bias, and using AI for models and commentary without trusting it blindly. No coding.
New to AI? Every track builds on AI & Data Fundamentals.
What you will be able to do
- Tell budget, forecast and actuals apart, and read the variances
- Build a driver-based revenue forecast
- Build a 13-week cash forecast
- Build scenarios and spot bias in a forecast
Units and bites
- Unit 14 bitesAbout 12 min
Finance forecasting basics
Budget, forecast and actuals: three numbers read together.
- 3 min
Budget, forecast and actuals
The budget is set once a year, the forecast is updated, and actuals are what really happened.
- 3 min
Why forecasts get updated
Every month brings new actuals, and a forecast that never moves means nobody is looking.
- 3 min
Top-down and bottom-up
Forecasting down from the company target or up from each team, and how to reconcile them.
- 3 min
The forecast calendar
The monthly and quarterly cycle: when the books close and when the numbers are agreed.
- Unit 24 bitesAbout 12 min
Revenue forecasting
Price × volume drivers, the sales pipeline and recurring revenue.
- 3 min
Driver-based forecasts
Breaking revenue into price, volume and customer count so every assumption is visible.
- 3 min
The weighted pipeline
Multiplying each deal by its chance of closing, and why those chances are often too hopeful.
- 3 min
Recurring revenue and churn
MRR, customers who leave and upsell in a subscription forecast.
- 3 min
Seasonality in revenue
Ramadan, year-end and clients' budget cycles in monthly revenue.
- Unit 35 bitesAbout 15 min
Costs and cash
Fixed and variable costs, the 13-week cash forecast and the cash peak before Lebaran.
- 3 min
Fixed and variable costs
Costs that rise with sales and costs that don't, in one forecast.
- 3 min
Profit isn't cash
Why a profitable company can still run out of cash.
- 3 min
The 13-week cash forecast
Cash in and out, week by week, for the next quarter.
- 3 min
Payment terms
How long customers take to pay, how long you take to pay suppliers, and what that does to cash.
- 3 min
THR and seasonal cash needs
Planning cash for the THR holiday allowance due before Lebaran, bonuses and seasonal stock.
- Unit 44 bitesAbout 12 min
Rolling forecasts and scenarios
A forecast that always looks 12 months ahead, and scenarios for FX, inflation and demand.
- 3 min
Rolling forecasts
Adding a new month every month, so the forecast never stops at December.
- 3 min
Scenario planning
Base, upside and downside cases built from the same drivers.
- 3 min
FX and inflation
Building rupiah moves and price rises into the forecast for imported costs and salaries.
- 3 min
Sensitivity tables
One table that shows profit across combinations of price and volume.
- Unit 54 bitesAbout 12 min
Forecast accuracy and bias
Variance analysis, sandbagging and optimism: measuring whether a forecast can be trusted.
- 3 min
Variance analysis
Splitting a variance into price, volume and cost effects.
- 3 min
Sandbagging and optimism
Why teams deliberately forecast low or high, and how to spot it.
- 3 min
Tracking forecast accuracy
Comparing the forecast from three months ago with actuals, month after month.
- 3 min
Explaining a miss
Writing an honest variance commentary for the board.
- Unit 64 bitesAbout 12 min
AI in finance forecasting
Using AI to draft models and commentary, checking it, and keeping financial data safe.
- 3 min
AI as a spreadsheet assistant
Asking AI to draft the formulas and structure of a forecast model.
- 3 min
Checking an AI-built model
Formulas that look right but are wrong, and how to test them with simple numbers.
- 3 min
Financial data and privacy
Which data may go into an AI tool, and which may not.
- 3 min
Writing forecast commentary with AI
An AI draft of the management commentary, with every number checked again.
Questions about this track
Learning
How long does Forecasting for Finance take?
About 75 minutes in all: 6 units made of 25 bites of about three minutes each, and every bite ends with a quick check. You can do one bite a day or several in a row.
Do I need to know how to code?
No. Every Datamew track is written for working professionals without a technical background. Where there is arithmetic, it is the kind you can do on a phone or in a spreadsheet.
Where should I start?
Everyone begins with AI & Data Fundamentals, which covers how AI works, how to write a good prompt and how to read data honestly. Then take Forecasting for Finance for your role.
When can I start learning?
Datamew is coming to iOS and Android soon. There is no release date or price announced yet: join the waitlist and we will tell you when the app is out.
Is it available in Bahasa Indonesia?
Yes. Datamew is written in English and Bahasa Indonesia.
More tracks
- AI & Data FundamentalsHow AI works, how to instruct it, and how to read numbers honestly.
- AI for MarketingResearch, content, personalisation and campaign analysis with AI — with your judgement still in charge.
- Data Analytics for MarketingMetrics, funnels, A/B tests, attribution and cohorts — the numbers behind marketing decisions.
- Data Analytics for HRPeople analytics: turnover, hiring, engagement and pay fairness — with privacy protected.
- Forecasting for Retail & E-commerceForecast demand, plan stock, and be ready for Ramadan, 11.11 and 12.12.
- Forecasting for MarketingForecast traffic, leads and campaign results, and defend the numbers in the budget meeting.
- Product Recommendation for E-commerceHow "you might also like" works, the data behind it, bundles, and how to measure the impact.
- Product Recommendation for Retail & MediaLoyalty programmes, personal vouchers and "watch next": recommendations beyond the online shop.
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