Supplementary solution for Financial forecasts
- Machine learning solution to predicts future financials
- Follows the effect of defined driver-data to the future financials and learns from them
- Driver-data can be historic data, other data in the solution external data
- Solution generates the forecasts from what is has learned from existing old data
- You can have multiple parallel forecasts by giving different default values for them
- You can supplement Financial Reporting and Remote Reporting solutions with Machine Learning forecasting solution
- Admin user defines the defaults and internal and external sources that will be used in forecasting
Continuous learning
- Solution compares continuously the predictions made to the actuals reported and refines future forecasting
- You can also add and test new driver after implementation
- New tested and validated drivers improve the accuracy of the future forecasts
Forecast reporting and comparing
- Forecast are generated periodically and saved in the database
- Forecast are separated from each other and from actuals by a solution specific dimension structure
- Forecast can be reported like actuals and besides actuals
Choice of Drivers
- Machine Learning solutions have all customer specific implementations
- Suitable drivers are selected and validated using existing data available
- You can add new drivers and data-sources later and validate if they improve the accuracy of forecasts
