Patent ID: 9710767
Date: 2017-07-18
CPC Classifications: G06Q

Claim:
1. A method comprising: obtaining a work package specifying resource requirements for an analytics environment associated with a given data science project; executing the given data science project by provisioning execution of physical and virtual computing resources of a computing system to generate the analytics environment based on the work package; collecting, by at least one processing device associated with the computing system comprising a data science project outcome prediction system coupled to a data analytics lifecycle automation and provisioning system, data from the work package and the data analytics lifecycle automation and provisioning system to monitor interactions with the analytics environment during execution of the given data science project, wherein the work package is developed during execution of a plurality of phases of an automated data analytics lifecycle associated with a given data science project, wherein the plurality of phases comprises a discovery phase, a data preparation phase, an analytics modeling phase and an operationalizing phase each implemented by one or more modules in the data analytics lifecycle automation and provisioning system, and wherein the work package is operationalized during the operationalizing phase of the automated data analytics lifecycle; wherein the data collection comprises obtaining data about one or more actors in the plurality of phases of the automated data analytics lifecycle and the one or more actors interactions with the analytics environment, and storing the obtained data in a current data project repository of the data science project outcome prediction system in the form of an audit trail specifying which actors are performing which kind of actions, at which dates and times, a sequence of the actions, and roles of the respective actors in the given data science project; analyzing, by the at least one processing device, at least a portion of the collected data, wherein the analysis comprises utilizing the information stored in the current data project repository to generate a model for predicting relationships between specific interactions with the analytics environment by respective ones of the one or more actors and possible outcomes of the given data science project, and wherein utilizing the information comprises applying one or more machine learning techniques to generate the model;