Abstract: Provided is a system and method for building context from software applications and applying the context to visual settings in a graphical user interface. In one example, the method may include receiving an identification of actions performed by a user with respect to a user interface of a software application, receiving application metadata of the actions from the software application, the application metadata providing context associated with the actions, training one or more predictive models to predict user interface preferences for the user based on the actions and the application metadata, and storing the one or more trained predictive models via a storage device.

Abstract: Provided is a system and method for building context from software applications and applying the context to visual settings in a graphical user interface. In one example, the method may include receiving an identification of actions performed by a user with respect to a user interface of a software application, receiving application metadata of the actions from the software application, the application metadata providing context associated with the actions, training one or more predictive models to predict user interface preferences for the user based on the actions and the application metadata, and storing the one or more trained predictive models via a storage device.

Abstract: Provided is a system and method for building context from software applications and applying the context to visual settings in a graphical user interface. In one example, the method may include receiving an identification of actions performed by a user with respect to a user interface of a software application, receiving application metadata of the actions from the software application, the application metadata providing context associated with the actions, training one or more predictive models to predict user interface preferences for the user based on the actions and the application metadata, and storing the one or more trained predictive models via a storage device.

Abstract: Provided is a system and method for building context from software applications and applying the context to visual settings in a graphical user interface. In one example, the method may include receiving an identification of actions performed by a user with respect to a user interface of a software application, receiving application metadata of the actions from the software application, the application metadata providing context associated with the actions, training one or more predictive models to predict user interface preferences for the user based on the actions and the application metadata, and storing the one or more trained predictive models via a storage device.

Abstract: A method for providing a visual representation of data stored in a database may include generating a graphic user interface configured to receive inputs for constructing a hierarchical measure based on the data stored in the database. An indication to add, to the hierarchical measure, a first measure and a second measure may be received via the graphic user interface. In response to the indication, the hierarchical measure may be constructed to include, based on the first measure being added prior to the second measure, the first measure as a parent measure and the second measure as a child measure. A first value of the first measure may correspond to an aggregate of at least a second value of the second measure. The graphic user interface may be updated to provide a visual representation of the hierarchical measure. Related systems and articles of manufacture are also provided.

Abstract: A method for providing a visual representation of data stored in a database may include generating a graphic user interface configured to receive inputs for constructing a hierarchical measure based on the data stored in the database. An indication to add, to the hierarchical measure, a first measure and a second measure may be received via the graphic user interface. In response to the indication, the hierarchical measure may be constructed to include, based on the first measure being added prior to the second measure, the first measure as a parent measure and the second measure as a child measure. A first value of the first measure may correspond to an aggregate of at least a second value of the second measure. The graphic user interface may be updated to provide a visual representation of the hierarchical measure. Related systems and articles of manufacture are also provided.

Abstract: A system includes determination of a measure, a set of dimension members and an event associated with a data source, determination of control dimension members associated with the event, determination of first values of the measure aggregated over a control period and over the set of dimension members, determination of second values of the measure aggregated over the control period and control dimension members, and not aggregated over at least one of the set of dimension members, determination a model associating the first values and the second values, determination of predicted values of the measure over a prediction period occurring after the control period, based on the model and on values of the measure aggregated over the prediction period and over the control dimension members, and not aggregated over at least one of the set of dimension members, and generation a visualization based on the predicted values of the measure and values of the measure aggregated over the prediction period and over the set o