Abstract: A machine implemented method for accelerating access to business intelligence data including providing a master database table on a computer readable medium and accessible by an analytics server, accessing rows in the master database table by the analytics server, with each row in the master database table containing at least a partial set of measures for a plurality of dimensions, identifying by the analytics server a set of one or more dimensions from the plurality of dimensions subject to a query by one or more computing devices in communication with the analytics server, extracting the set of one or more dimensions and associated measures for each of the one or more dimensions from the master database table, and forming a baby fact table such that each row in the baby fact table contains the set of one or more dimensions subject to the query and the associated measures derived from the extracting step.

Abstract: Billing data associated with telecom products provided by a variety of vendors is captured, normalized, and processed to calculate true profit margins by invoice, by vendor, by geographic location, by end-customer, by circuit, or combinations of these. A bill may be received from the vendor, and associated with a specific vendor profile. The vendor profile may include a validation routine specific to the vendor. A plurality of telephone numbers associated with an end-customer may be extracted from the bill based on the vendor profile and stored on a storage device. A previous bill from the vendor may be accessed in response to receiving the bill from the vendor. End-customer profitability may be determined for a first time period based on data extracted from the received bill and displayed.

Abstract: Disclosed are various embodiments for predicting and classifying events that create a sudden and substantial increase in network traffic activity. To begin, a sales event may be predicted based on the results following the search for one or more prediction factors that occur during a predefined period of time. Based either on the individual results of each evaluation or a combination of results of the search of two or more of the prediction factors, a sales event may be predicted. Additionally, upon detection of a sudden and substantial increase in network traffic activity, one or more classification factors may be evaluated to determine whether the cause of the increase is due to a sales event or other type of alternative activity event.

Abstract: A method and system for adjusting a process for identifying settings visited by a consumer based at least in part on electronically-derived consumer location data. A method and system are provided for gathering location data for consumers and identifying points of interest (POIs) visited by the consumers based on the location data. Based on a comparison of settings identified by a process to settings that are identified in data collected from external data sources, the system may determine whether to adjust the visit detection process. The system may adjust the visit detection process by adjusting a way in which settings are defined in a data set, by adding or removing settings from a data set, and/or by changing a manner in which the visit detection process determines whether a location corresponds to a setting in the data set.

Abstract: Systems, methods, and software for operating a wireless communication device are provided herein. In a first example, a method of operating a wireless communication device is provided. The method includes receiving user content and advertising content over a wireless link from a wireless communication network, and responsive to user input on the wireless communication device, altering a first resource portion associated with the wireless communication device for handling of the advertising content and altering a second resource portion associated with the wireless communication device for handling of the user content.

Abstract: A interactive digital advertising system including a soft-copy display including at least an information display region and a command control region, a digital image capture system positioned to capture a time sequence of images of users located in a field-of-view of the soft-copy display, and a storage memory storing a library of advertisements. A time sequence of images is analyzed to detect a plurality of users, and at least one of the users is designated to be a controlling user. The captured images are displayed in the command control region, wherein the detected users are demarked using graphical elements. The captured time sequence of images is analyzed to determine one or more demographic attributes relating to the designated controlling user, and a particular advertisement from the library of advertisements is selected and displayed in the information display region responsive to the determined demographic information.

Abstract: In embodiments, methods and systems for consumer behavior analysis using electronically-captured consumer location data may be provided. The location data may be gathered for one or more consumers. The gathered data may be analyzed to determine behavior patterns or other characteristics of the one or more consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity.

Abstract: A revenue management system comprising a first revenue management route which includes a forecast module and an optimization module and which calculates expected revenue for sales of inventor items based on historical data; a second revenue management route which is selected if the confidence in the forecasting in the first route is below a predetermined value.

Abstract: A computer implemented method, system, and/or computer program product assigns work to a software factory for implementing a project. A project model of a project is generated. Project model subcomponents are mapped to work packets that are available to a software factory, thus leading to the generation of a work plan for performing the project via an execution of the available work packets.

Abstract: Systems and methods for cost-based fulfillment tie breaking are disclosed. In some embodiments, a method may include receiving an indication of an order for an item stocked in a plurality of fulfillment centers, where a difference between a cost of fulfilling the order with one of the plurality of fulfillment centers and a cost of fulfilling the order with another one of the plurality of fulfillment centers is within a specified amount. The method may also include selecting a given one of the plurality of fulfillment centers to fulfill the order based, at least in part, upon expected costs corresponding to inventory positions that would result from fulfilling the order with each of the plurality of fulfillment centers.

Abstract: A system for determining an optimal forecasting hierarchy includes setting a plurality of hierarchies by setting each hierarchy in terms of a hierarchy structure. The system also includes generating top level forecasts for a training period and a testing period, each top level forecast being based upon an aggregation of the base forecast levels. The system further includes calculating a forecast error. An optimization routine includes determining an optimal hierarchy and an optimal base level, both being based upon a smallest associated forecast error. The optimization routine also includes calculating a deficiency ratio for each level within each hierarchy by comparing forecast errors associated with the optimal base level and the optimal hierarchy to forecast errors associated with each of the other base levels and hierarchies. The optimal forecasting hierarchy is determined by comparing the deficiency ratio to a significance level.