Abstract: A portable device for automating data analytics includes a configurator module, wherein the configurator module when plugged into a client device enables a user of the client device to configure a plurality of parameters. The portable device further includes a Rapid Operational Visibility (ROVi) engine for automating data analysis. The ROVi engine performs automating data capture from a plurality of data sources based on configured parameters. Further, the ROVi engine creates a data model automatically. The ROVi engine automates creation of interfaces, automates generation of a semantic layer, and enables the user to create customized analytical reports.

Abstract: The present invention relates to methods and systems for automated processing, handling, and facilitating a trade credit transaction. One embodiment of the invention can comprise an automated trade credit processing application engine. The automated trade credit processing application engine can be adapted to approve a customer for a purchase using trade credit, and cause an invoice associated with the purchase to be assigned to a customer sponsor. The automated trade credit processing application engine can be further adapted to determine an advance for a seller sponsor to pay to a seller associated with the purchase, wherein the customer sponsor can guarantee payment of some or all of the invoice to the seller sponsor.

Abstract: A distributed network data storage method includes receiving a data set from a client, defining a virtual device to include a plurality of device portions each on one of a plurality of network servers, parsing the data set into a plurality of data portions, and writing each of the data portions to a corresponding one of the virtual device portions. Methods are also disclosed for securely writing data to the virtual devices, and for identifying and reconstructing corrupt data. A system for implementing the data storage/retrieval method includes a plurality of network servers, each running a distributed RAID server application. The servers communicate with clients via a first network, and with each other via a second network.

Abstract: A distributed network data storage method includes receiving a data set from a client, defining a virtual device to include a plurality of device portions each on one of a plurality of network servers, parsing the data set into a plurality of data portions, and writing each of the data portions to a corresponding one of the virtual device portions. Methods are also disclosed for securely writing data to the virtual devices, and for identifying and reconstructing corrupt data. A system for implementing the data storage/retrieval method includes a plurality of network servers, each running a distributed RAID server application. The servers communicate with clients via a first network, and with each other via a second network.