Series preparation
Detect likely date and numeric fields, aggregate the data into a suitable time series and flag preparation issues.
DATA FORECASTING
Turn historical Excel or CSV data into a practical forecast.
Choose a time field and business metric, let Azhan Data Studio prepare the series, then review projected values and forecast ranges without building a forecasting workbook from scratch.
✓ Date-field detection✓ Metric selection✓ Forecast intervals✓ Report-ready output
WHAT YOU CAN DO
Built for practical data work, not dashboard setup.
Projected values
Generate future-period estimates based on the historical series and selected forecast horizon.
Uncertainty ranges
Review forecast intervals alongside the central estimate so the projection is not presented as false precision.
Historical context
See the observed history together with the projected path to understand how the forecast relates to previous movement.
WORKFLOW
A straightforward path from raw file to useful output.
Upload historical data
Choose a CSV or Excel file containing a meaningful date field and numeric measure.
Select date and metric
Use the recommended candidates or choose the fields that best represent the series you want to project.
Set the horizon
Choose how many future periods you want to estimate based on the available historical frequency.
Review the projection
Inspect forecast values, ranges, charted history and the method notes before using the output in planning.
USE CASES
Useful when you need a fast answer from everyday business data.
Sales forecastingVolume planningDemand trendsOperational workloadMonthly KPI projectionBudget support
FAQ
Common questions
What data do I need for a forecast?
You need historical observations with a usable date field and at least one numeric metric. More consistent history generally gives the forecasting workflow more information to work with.
Does a forecast guarantee what will happen?
No. A forecast is an estimate based on the historical series and assumptions in the method. The range and caveats should be considered when using it for planning.
Can I forecast data from an Excel workbook?
Yes. You can upload an .xlsx workbook, choose an analysis-ready sheet and then select the date and metric fields for forecasting.
What if I want to test assumptions rather than project history?
Use Scenario Analysis when you want to change assumptions such as percentage movements and compare upside, base and downside outcomes rather than extrapolating a time series.
TRY IT FREE
Create a forecastReady to work with your own data?
Open Azhan Data Studio, upload a CSV or Excel file and use the tool directly in your browser.