Webinar: Forecasting With Predictive Analytics and Data Science
September 22, 10AM – 11AM PDT
Abstract: Forecasting with predictive analytics offers the opportunity to leverage the huge amounts of data, now readily available, that exhibit the following characteristics:
With data mining and machine learning methods, your data can easily and quickly be converted into knowledge to yield more accurate and more actionable models. We will show 4 applied case study examples in a variety of industries and we will demonstrate these techniques using an APPLIED example, a data set from a Brazilian grocery store chain. Information including date, store, promotions, climate, and unit price will be used to predict the total sales of oranges for the company. The model will help you identify what affects sales, decide on best prices and promos, and most importantly, forecast sales in the future.
Additionally, we will go beyond the retail industry and touch on Case Studies:
Although we show 4 examples, the approach is widely applicable and you will be able to follow the same steps on your own datasets. Examples of datasets that would benefit include:
This webinar will be a step-by-step presentation that you can repeat on your own! Included with Registration:
Who should attend: