Webinar Partner: RapidMiner
Webinar Date: April 12, 2017 (10 am ET)
Presenter: Surya Putchala, Lead, Big Data Analytics, Cappius Technologies, USA
Sales forecasts as reported by sales teams are subjective and driven by biases. The result is skewed forecasts which add to the unpredictability of revenue projections as well as inadequate production planning.
In this webinar, we will show an approach to forecasting Sales using various advanced forecasting methods. The solution developed using RapidMiner will help in a decisive action based on the information related to seasonality and trends of a product/service.
Join us for this 30-minute webinar where we will explore and demonstrate:
- Predicting Sales of Commodities – Technical analyses of real commodity trading data using moving averages, regression methods as well as neural networks.
- Approaching a Forecasting technique for a given Product/Service: One Forecasting model doesn’t fit all. We will analyze and evaluate various performance characteristics of various models.
Download the Slides from here:
Get Webinar Slides
Do you want to forecast your sales? Or do you need help in implementing your solution using RapidMiner? Grab our Free Data Science Consulting Offer and get 20 Hours of Free Consulting engagement to help you with your forecasting & predictive analytics needs.