Using Big Data as a Robust Forecasting Method

Big data is here to stay. Dealing with the huge amount of data generated by human interactions in the context of semantic web requires proper tools in order to produce quality business insights.

Traditional database approaches are no longer able to process the enormous result of geolocation behavior, navigation logs, and natural language that consumers produce while interacting with brands in their day-to-day.

In this whitepaper, our Senior Data Scientist, Hossein Sadaei, explores the complexities of choosing the right statistical model for forecasting in a big data context and explains why linear and deep learning models aren’t the best options. With his vast experience in developing scalable solutions with fuzzy logic, Hossein is able to didactically go over the do's and don’ts of forecasting.

Download our free whitepaper and learn how to use a robust forecasting method by using big data.