Time-series forecasts are used extremely often in the business world, for example, when forecasting the net working capital for Treasury departments, or forecasting solar power production at a utilities company, among others.
Our scenario is about forecasting the amount of nights that foreign tourists or business travelers will spend in Switzerland in the coming months. The data is publicly available in the opendata.swiss portal [1].
The forecasts of overnight stays can be useful for many purposes, for instance to help decide where to spend a Marketing budget. It can also help the tourism industry to have the right skilled staffing through the year.
In this scenario, we will see that using time series forecasts within the SAP HANA Cloud environment [2] enables businesses to process data and generate insights more quickly to plan strategically.