Abstract: Systems and methods that enable blending and aggregating multiple related datasets to a blended data model (BDM), manipulation of the resulting data model, and the representation of multiple parameters in a single visualization. The BDM and each visualization can be iteratively manipulated, in real-time, using a user-directed question-answer-question response so patterns can be revealed that are not obvious.

Abstract: Systems and methods that enable blending and aggregating multiple related datasets to a blended data model (BDM), manipulation of the resulting data model, and the representation of multiple parameters in a single visualization. The BDM and each visualization can be iteratively manipulated, in real-time, using a user-directed question-answer-question response so patterns can be revealed that are not obvious.

Abstract: Systems, methods, and software for efficiently presenting information in a three-dimensional landscape are described. In some aspects, values for multiple series of data points are received. The data points may relate to financial instruments or business intelligence metrics. A three-dimensional landscape of the values is generated. The three-dimensional landscape includes arrays of discrete graphical elements, where each array corresponds to one of the series. Each discrete graphical element has a visual attribute that represents one of the observed market values. The elements in each array are distributed along a first dimension of the three-dimensional landscape and positioned adjacent to one another to allow visual identification of trends within each series. The arrays are spaced apart from each other in a second dimension of the three-dimensional landscape to allow visual comparison of the trends across different series.

Abstract: Systems, methods, and software for efficiently presenting financial information in a three-dimensional landscape are described. In some aspects, observed market values for multiple sets of future financial payoffs are received. For example, the future financial payoffs can be based on derivatives contracts, bonds, or other types of financial instruments. A three-dimensional landscape of the observed market values is generated. The three-dimensional landscape includes groups of discrete graphical elements representing the sets of future financial payoffs. Each of the discrete graphical elements has a visual attribute that represents the observed market value for one of the future financial payoffs. The discrete graphical elements in each group are positioned in proximity to each other in the three-dimensional landscape to allow visual comparison of the observed market values for the set of future financial payoffs represented by the group.