Abstract: A system and method which allows data to be received into a placement intelligence. After the data is analyzed. the data is written to a persistent storage device. Subsequently. the data may be written. Periodically, self-optimization may occur to improve read speeds or other metrics.

Abstract: In some embodiments, there is provided a system which allows data to be received into a placement intelligence. After the data is analyzed, the data is written to a persistent storage device. Subsequently, the data may be written. Periodically, self-optimization may occur to improve read speeds or other metrics.

Abstract: In some embodiments, there is provided a system which allows data to be received into a placement intelligence. After the data is analyzed, the data is written to a persistent storage device. Subsequently, the data may be written. Periodically, self-optimization may occur to improve read speeds or other metrics.

Abstract: A system, comprising: a plurality of clusters, each cluster comprising two or more nodes and data storage; data storage comprising two or more storage arrays; each storage array comprising two or more storage devices; each storage device being configured to store data; each node being configured to receive requests to interact with data stored on a storage device; wherein the system is configured to provide at least two communication paths between any pair of components, the components comprising the nodes, storage arrays, and the storage devices.

Abstract: The model builder may generate a model object, and initiate the solver to determine whether the model object has constraints that effect the model object. The solver can generate solution data these constraints. The solver may pass any solution data it obtains to the solution display generator, so that the user can view the solution data while the user is building the model with the model builder.

Abstract: In embodiments, systems and methods may involve using a platform as disclosed herein for applications described herein where the systems and methods involve receiving a dataset in an analytic platform, the dataset including fact data and dimension data for a plurality of distinct product categories. It may also involve storing the data in a flexible hierarchy, the hierarchy allowing the temporary fixing of data along a dimension and flexible querying along other dimensions of the data. It may also involve pre-aggregating certain combinations of data to facilitate rapid querying, the pre-aggregation based on the nature of common queries. It may also involve facilitating the presentation of a cross-category view of an analytic query of the dataset. In embodiments, the temporarily fixed dimension can be rendered flexible upon an action by the user.

Abstract: A system or method includes a simulated model that has a plurality of simulated components, the plurality of components are arranged in a component hierarchical graph such that the combination of the simulated components forms the simulated model. The system includes an inference engine configured to generate one or more redesign recommendations for a component in the simulated model based on redesign recommendation rules. The system may include a display generator for displaying the redesign recommendations to a first user.

Abstract: A system or method that includes determining a plurality of physical characteristics of a first simulated object. The system or method includes comparing the plurality of physical characteristics of the first simulated object to a plurality of characteristics of a plurality of objects stored on a storage medium. The system or method includes identifying at least one matching object from the plurality of objects stored on the storage medium. The system or method includes comparing at least one physical property of the at least one matching object to at lease one desired physical property of the first simulated object and generating a list of matching objects that meet the at least one desired physical property.

Abstract: A method, apparatus and computer readable medium for performing a computer simulation a physical object, includes receiving at least one selection by a user with respect to usage of a simpler model or a more complex model to be used to model at least one attribute of the physical object; performing a computer simulation of the physical object based on the at least one selection received from the user; and rerunning the computer simulation a plurality of times using results obtained from earlier run computer simulations, to obtain an accurate representation of the physical object.

Abstract: In embodiments of the present invention, a method is described for reducing bias by data fusion of a household panel data and a loyalty card data. In embodiments, a method is provided for receiving a consumer panel dataset in a data fusion facility, receiving a consumer point-of-sale dataset in a data fusion facility, receiving a dimension dataset in a data fusion facility, fusing the datasets received in the data fusion facility into a new panel dataset based at least in part on an encryption key, estimating a consumer behavior using a first model based on the consumer panel dataset, estimating a consumer behavior using a second model based only on those consumers present in both the consumer panel dataset and the consumer point-of-sale dataset, and refining the first model based at least on the results of the second model.

Abstract: A system or method includes receiving data regarding a first simulated object with at least one desired physical property to be exhibited by the first simulated object designed by a user. The method includes receiving a request for modifications to the simulated object to achieve the at least one desired physical property and determining based on the at least one desired physical property other simulated objects designed by other users, the other simulated objects exhibit the desired physical properties. The display at least one design path that shows other simulated objects that has the desired physical properties and allowing the user choose one of the other simulated objects and replace the object with the chosen object.

Abstract: Using a computer, a database comprising a field is identified. A query relating to the field is identified. Prior to processing the query, the field is dynamically altered to conform to a desired bit size. The query is processed. The results of the query are returned.

Abstract: Improved capabilities are described for identifying a first classification scheme associated with product attributes of a first grouping of products, identifying a second classification scheme associated with product attributes of a second grouping of products, and receiving a record of data relating to an item, the classification of which is uncertain. It may also involve receiving a dictionary of attributes associated with products and assigning the item to at least one of the classification schemes based on probabilistic matching among the attributes in the classification schemes, the attributes in the dictionary of attributes and the known attributes of the item.

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: In embodiments of the present invention improved capabilities are described for identifying a first classification scheme associated with product attributes of a first grouping of products, identifying a second classification scheme associated with product attributes of a second grouping of products, and receiving a record of data relating to an item, the classification of which is uncertain. It may also involve receiving a dictionary of attributes associated with products and assigning the item to at least one of the classification schemes based on probabilistic matching among the attributes in the classification schemes, the attributes in the dictionary of attributes and the known attributes of the item.

Abstract: The model builder may generate a model object, and initiate the solver to determine whether the model object has constraints that effect the model object. The solver can generate solution data these constraints. The solver may pass any solution data it obtains to the solution display generator, so that the user can view the solution data while the user is building the model with the model builder.

Abstract: A system or method includes a simulated model that has a plurality of simulated components, the plurality of components are arranged in a component hierarchical graph such that the combination of the simulated components forms the simulated model. The system includes an inference engine configured to generate one or more redesign recommendations for a component in the simulated model based on redesign recommendation rules. The system may include a display generator for displaying the redesign recommendations to a first user.

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: 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: 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.