Our algorithm learns the weekly and annual trends that are important for your business.
See the difference between expected seasonal variation and the larger market trends.
Compare what happens to your forecast under different future plans
Specify a country and our algorithm will use a country holidays list when it makes predictions.
No need to login and import/export your data before you can get down to the real work.
There are two reasons why Forecast Forge works well as a spreadsheet addon:
A user interface where people can import data, enrich it with their own information (see details on helper columns below) and interact with the results would end up duplicating a lot of what a spreadsheet does.
Better to let people use all the functionality of their spreadsheet and an interface they are very familiar with.
Forecast Forge can be used to make forecasts for a very wide range of different things. And most of this data is either already stored in a spreadsheet or is in a tool that can export to a spreadsheet.
Rather than making the process involve exporting to a spreadsheet from one tool and then importing that into Forecast Forge it is simpler to go to where the data is already; a spreadsheet.
Forecast Forge uses a forecasting algorithm that works well for a wide variety of metrics.
More specifically, the thing you want to forecast should have the following properties:
Forecast Forge can account for recurring events that don’t fit into an exact annual or weekly pattern. Movable feasts like Easter as well as things like product launches and sales fit into this category.
A database of country holidays is included. For other, more specific events, you will have to setup a helper column.
Some metrics you want to forecast will have hard constraints. For example, website sessions are always greater than zero and bounce rates are always between 0% and 100%.
Use one of the built in data transforms to make sure the forecasted values meet the constraints.
There are two parts to this question:
Forecast Forge makes the second part very easy; anyone who is a confident spreadsheet user can do it.
The first part is a much harder problem; it requires both a bit of knowledge about forecasting and deeper knowledge of the business you are trying to forecast for.
At the moment I believe there is no easy solution for this and anyone who tells you otherwise either doesn’t know what they are talking about or is thinking of a forecasting method with much more limited options for customisation.
This is one reason why this tool is called “Forecast Forge”; you have to hammer at it to get the best results.