Usually it is indeed the case that especially deep learning requires a lot of data. However also with little data neural networks might generate good results using the implementations provided by e. g. scikit learn. Also you might want to look into Boosting Algorithms (specifically XGBoost), as they are usually powerful on tabular data which is a common type of data to have in businesses.