Abstract: A system and method for tracking users across a plurality of media platforms are provided. The method includes generating unified user-level data of each user across the media of advertising platforms; storing the unified user-level data generated for each user in a storage; taping into the plurality of advertising platforms to render pixel trafficking data; and analyzing raw data based on which the unified user-level data is generated.

Abstract: A system and method for providing big data analytics responsive to dynamically-changing data models are provided. The method includes parsing, based on a logical data schema, a user query into a plurality of sub-queries; sending the plurality of sub-queries to a plurality of data stores, wherein each data store is selected based on a physical data schema of a dynamic data schema; receiving a plurality of sub-result datasets, wherein each sub-result dataset corresponds to a sub-query; and combining the plurality of sub-result datasets into a single resulting data set based on a logical schema of the dynamic data schema, wherein the combining includes at least any of: an aggregation operation and a join operation.

Abstract: A system and method for performing cross-platform data analytics of advertising campaign information.

Abstract: A system and method for generating visual representations of interesting plots of tabular data.

Abstract: A system and method for normalizing campaign data gathered from a plurality of advertising platforms. The method comprises receiving campaign data related to at least one campaign gathered from a plurality of advertising platforms; mapping data dimensions in the received campaign data to a marketing data model to produce a dataset that is organized and functions as the marketing data model; normalizing data values in the dataset according to a unified notation defined for each of the data dimensions in the marketing data model; and optimizing the normalized dataset to allow faster manipulation of data.

Abstract: A system and method for unifying user-level data across a plurality of media platforms are provided. The method includes receiving user-level data events from the plurality of media platforms, wherein each event relates to at least one online advertisement viewed by a plurality of users; processing the received user-level data events to detect a group of user-level data events related to the same user of the plurality of users; combining user-level data from each group of user-level data events related to the same user; assigning a unique user identifier to the combined user-level data to result in a unified user-level data related to a particular user; and storing the unified user-level data in a database, thereby providing consistent user-level data across the plurality of media platforms.

Abstract: A system and method for unifying user-level data across a plurality of media platforms are provided. The method includes receiving user-level data events from the plurality of media platforms, wherein each event relates to at least one online advertisement viewed by a plurality of users; processing the received user-level data events to detect a group of user-level data events related to the same user of the plurality of users; combining user-level data from each group of user-level data events related to the same user; assigning a unique user identifier to the combined user-level data to result in a unified user-level data related to a particular user; and storing the unified user-level data in a database, thereby providing consistent user-level data across the plurality of media platforms.

Abstract: A system and method for providing big data analytics responsive to dynamically-changing data models are provided. The method includes parsing, based on a logical data schema, a user query into a plurality of sub-queries; sending the plurality of sub-queries to a plurality of data stores, wherein each data store is selected based on a physical data schema of a dynamic data schema; receiving a plurality of sub-result datasets, wherein each sub-result dataset corresponds to a sub-query; and combining the plurality of sub-result datasets into a single resulting data set based on a logical schema of the dynamic data schema, wherein the combining includes at least any of: an aggregation operation and a join operation.

Abstract: A system and method for performing cross-platform data analytics of advertising campaign information.

Abstract: A system and method for normalizing campaign data gathered from a plurality of advertising platforms. The method comprises receiving campaign data related to at least one campaign gathered from a plurality of advertising platforms; mapping data dimensions in the received campaign data to a marketing data model to produce a dataset that is organized and functions as the marketing data model; normalizing data values in the dataset according to a unified notation defined for each of the data dimensions in the marketing data model; and optimizing the normalized dataset to allow faster manipulation of data.