To start with, the number of connections and users of the session needs to be sourced from the usage database. This information needs to be merged with customer demographics from the CRM along with information about the customers history from the usage database. To more accurately forecast this demand, the data should be combined with financial and web analytics databases along with calendar information. All this data needs to be cleaned, joined and transformed into valuable ML features before going into model training. This pre-modeling prep process can be frustrating and time consuming. We are here to help.