International Business Machines Corporation

Michael D Woods

Jing-Yun Shyr

Daniel Jay Rope

Yea Jane Chu

Marc S Altshuller

Margaret J Vais

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) from the series of structured data has one or more time fields Tand one or more attributes A. In response to determining that the series of structured data is transactional, one or more processors select a time field Tthat meets an aggregation criterion, and then aggregate the transactional data from the time field Tinto 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.

Transforming a transactional data set to generate forecasting and prediction insights

Provided are techniques for summarizing statistical results. Multiple sets of statistical results are received, wherein each of the sets of statistical results are ordered according to interestingness. Insights are generated based on the multiple sets of statistical results. Relationships between the generated insights are identified. An executive summary is generated with a set of findings based on the identified relationships. An interactive visualization is provided with the generated insights based on the executive summary.

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Michael D Woods