Abstract: In embodiments of the present invention improved capabilities are described for identifying a classification scheme associated with product attributes of a grouping of products of an entity, receiving a record of data relating to an item of a competitor to the entity, the classification of which is uncertain, receiving a dictionary of attributes associated with products, and assigning a product code to the item, based on probabilistic matching among the attributes in the classification scheme, the attributes in the dictionary of attributes and at least one known attribute of the item.

Abstract: The methods and systems disclosed herein include an analytic platform, with a customized retailer portal application, that may be used to perform data projection and release methodologies in order to create an integrated, flexible, actionable view of data such as data relating to consumers, consumer behavior, commodity sales, and other commercial activities like those pertaining to relationships between consumers and stores.

Abstract: In embodiments of the present invention improved capabilities are described for using an analytic platform to obtain a projection. A core information matrix may be developed for data set, where the core information matrix may include regions representing the statistical characteristics of alternative projection techniques that may be applied to the data set. In addition, a user may be provided with an interface whereby the user may observe the regions of the core information matrix to facilitate selecting an appropriate projection technique.

Abstract: Systems and methods are presented that may involve receiving a causal fact dataset including facts relating to items perceived to cause actions, wherein the causal fact dataset includes a data attribute that is associated with a causal fact datum. It may also involve pre-aggregating a plurality of the combinations of a plurality of causal fact data and associated data attributes in a causal bitmap. It may also involve selecting a subset of the pre-aggregated combinations based on suitability of a combination for the analytic purpose. It may also involve storing the subset of pre-aggregated combinations to facilitate querying of the subset.

Abstract: The methods and systems disclosed herein include an analytic platform, with a data visualization application, that may be used to perform data fusion methodologies in order to create an integrated, actionable view of consumers, consumer behavior, commodity sales, and other commercial activities, such as the relationship between consumers and stores.

Abstract: A method for reading the altered data field in accordance with the field alteration data is provided. The method may include altering a data field characteristic of a data field in a data table, saving the field alteration datum associated with the alteration in a data storage facility, submitting a query requiring the use of the data field in the dataset and reading the altered data field in accordance with the field alteration data. The alteration may generate a field alteration datum and a component of the query may consist of reading the field alteration data.

Abstract: In embodiments of the present invention improved capabilities are described for using an analytic platform to obtain a projection, where a user of an analytic platform may select at least one dimension on which the user wishes to make a projection from the data set. A core information matrix may be developed for data set, where the core information matrix may include regions representing the statistical characteristics of alternative projection techniques that may be applied to the data set, and may include statistical characteristics relating to projections using any selected dimensions. In addition, a user interface may be provided whereby a user may observe the regions of the core information matrix to facilitate selecting an appropriate projection technique.

Abstract: Systems and methods are presented that may involve storing a core information matrix in a partition within a partitioned database, wherein the partition is associated with a data characteristic. It may also involve associating a master processing node with a plurality of slave nodes, wherein each of the plurality of slave nodes is associated with a partition of the partitioned database. It may also involve submitting a query to the master processing node, wherein the query relates to a projection. It may also involve assigning analytic processing to at least one of the plurality of slave nodes by the master processing node, wherein the assignment is based at least in part on the partition association. It may also involve processing the projection-related query by the assigned slave node, wherein the analysis produces a partial projection result at the assigned slave node.