Transforming a transactional data set to generate forecasting and prediction insights

摘要

A method, system, and/or computer program product analyses event transactional related data to generate insights and predictions, which are pre-created to efficiently respond to requests for prediction/forecasting information, in order to improve the operation of the prediction-generating computer. One or more processors receive a series of structured data, where each entry (E_i) from the series of structured data has one or more time fields T_k and one or more attributes A_j. In response to determining that the series of structured data is transactional, one or more processors select a time field T_kr that meets an aggregation criterion, and then aggregate the transactional data from the time field T_kr into a time series data format. One or more processors consolidate results from a time series analysis and a regression analysis of the transformed transactional data to create a consolidated result, which is used to respond to a request for prediction/forecasting information.