Nanigans, Inc.

Ric Calvillo

Joshua Allen Breckman

Claude Denton

Jonathan Palmer

George Plesko

Travis Hansen

Derek J Yimoyines

Amit Deepak Adur

Keith Wright

Per Anders Sandell

Christopher Connors

A system and user interface capable of effectively manipulating high volumes of data is provided. The system and/or user interface is specially-configured to aggregate large data volumes and translate the large data volumes into summary information associated with navigable categorizations (e.g., categorizations linked to selectable visualizations in the user interface) that enable dynamic selection and visualization of portions of the large data volumes. In one particular example, the system and/or user interface is adapted to generate selectable panels having a plurality of build or editing tools displayed coextensive with portions of the large volumes of data. Such panels may be particularly useful for generating a placement (e.g., an advertisement) while reviewing or managing large amounts of information, such as ad placement and performance information for hundreds or thousands or advertisements.

System for high volume data analytic integration and channel-independent advertisement generation

According to various aspects of the present invention, a user interface capable of effectively manipulating high volumes of data is provided. The system and/or user interface is specially configured to aggregate large data volumes and translate the large data volumes into summary information and incorporate navigable categorizations that enable dynamic selection and visualization of portions of the large data volumes. Such interfaces may be particularly useful for managing large amounts of information, such as ad placement and performance information that is generated within an advertising network associated with ad campaigns. Moreover the integration of such summary menus in detailed visualizations improves information access, limits rendering operations by the system, and enables more efficient retrieval and visualization of information. In some examples, the contextual views limit errors in data entry, for example, by providing contextual visualization for subsequent functions.

Graphical user interface for high volume data analytics

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Chestnut Hill, MA, United States of America

Ric Calvillo