In the following, you will find a detailed reference of the cubes and their component fields, in order to facilitate users' interpretation and use in the continuous improvement of demand planning processes in terms of accuracy and automation.
Where do you find the result cubes?
When the results are ready we will notify you by email. You must log in at welcome.datup.ai to access your results. Here you can find downloadable Data Cubes, which you can view in excel or google sheets.
Qrank: Item Sorting Cube
Consolidates the classification of each item according to the ABC, FSN and XYZ rankings. The first refers to the item's profitability or revenue; the second to the level of turnover and the third to the item's stability for a forecasting process.
Qfcst: Forecast Cube
It brings together forecasts and backtests (evaluations of historical data against model predictions) for each item and dates in the forecast period, suggesting the most likely sales or demand quantities for operational, manufacturing, supply or S&OP processes.
Forecast intervals are the forecast impact zones, measured as the deviation of the forecast from the actual observation. These zones are delimited by: Forecast Point, Forecast Lo95, Forecast Lo80, Forecast Lo60, Forecast Up60, Forecast Up80 and Forecast Up95.
Qstrgy: Strategic Forecasting Cube
It summarises the most relevant forecast results for each item to guide the continuous improvement processes of demand planning. Firstly, it allows to identify the highest performing items, the items above a control error value (e.g. 50%), the best performing items by a naïve forecast or proposed model, and the forecast interval that best describes a recurrent under- or over-forecast.