Abstract: Techniques are presented for managing fraud information. Metadata defines user profiles, security levels, fraud cases, and presentation information. One or more queries or reports are processed against disparate data store tables and the results are aggregated into a repository. The repository is also defined by the metadata. Furthermore, operations associated with sharing, viewing, and accessing the results from the repository is defined and controlled by the metadata. In an embodiment, portions of the metadata may be viewed and navigated in a hierarchical and graphical formatted presentation.

Abstract: A method of graphically displaying the path of a customer traversing a web site and related business data is described. The method includes receiving a user request for a visualization. The user request may include data filters and exclusions. Responsive to the user request, traffic data is selected for analysis. The selected traffic data is analyzed and displayed to the user. The display may be in the form of a visualization including a graph and related business data. The graph may be of an overview, referral, path, page-to-page path, and animation type. A system for visualizing traffic patterns and the path of a customer at a site is described in conjunction with the above method. The system includes a logical data model, a dimensional data model, a report specification, a graphical interface, metadata database and an analysis report. The graphical interface is used for viewing visualization information.

Abstract: Techniques are presented for managing fraud information. Metadata defines user profiles, security levels, fraud cases, and presentation information. One or more queries or reports are processed against disparate data store tables and the results are aggregated into a repository. The repository is also defined by the metadata. Furthermore, operations associated with sharing, viewing, and accessing the results from the repository is defined and controlled by the metadata. In an embodiment, portions of the metadata may be viewed and navigated in a hierarchical and graphical formatted presentation.

Abstract: Techniques are presented for managing fraud information. Metadata defines user profiles, security levels, fraud cases, and presentation information. One or more queries or reports are processed against disparate data store tables and the results are aggregated into a repository. The repository is also defined by the metadata. Furthermore, operations associated with sharing, viewing, and accessing the results from the repository is defined and controlled by the metadata. In an embodiment, portions of the metadata may be viewed and navigated in a hierarchical and graphical formatted presentation.

Abstract: Methods and systems for locating related reports are provided. A report application identifies a first report to process along with preference selections associated with finding related reports to the first report being processed. A data preparation application performs an initial filter against a report data store using the first report and the preference selections. The data preparation application passes candidate reports and the first report to a data mining application. The data mining application uses the first report, the candidate reports, and a report usage data store to find relationships and associations with additional reports. In one embodiment, the additional reports are ranked and organized before being presented to the report application as related reports to the first report.

Abstract: A data warehouse system and application which analyzes historical sales and product data contained within a data warehouse to determine the best product prices across a set of products for a retailer. Historical demand data for products is grouped and mined using data mining techniques to identify products having opposing sales relationships, and determine how a reduction in the price or increase in sales for a specific product will impact the demand for other products sold by a retailer.

Abstract: A data warehouse system and application which analyzes historical sales and product data contained within a data warehouse to determine the best product prices across a set of products for a retailer. Historical demand data for products is grouped and mined using data mining techniques to identify products having affinity relationships, and determine how changes to the price and demand for a specific product will increase the demand for other products sold by a retailer.

Abstract: A data warehouse system and application which analyzes historical sales and product data contained within a data warehouse to determine the best product price for a retail product. The application automatically creates statistical models using relevant information in the database and determines price elasticity characteristics for the retail product indicating the probable change in sales volume of the product resulting from a change in the selling price for the product. Output from the application can be used operationally to set new product prices, or the application can be utilized as a decision support tool to help retailers understand the influencers on their product sales and profitability.

Abstract: A data warehouse system and application which analyzes historical sales and product data contained within a data warehouse to determine the best product prices across a set of products for a retailer. The application automatically creates statistical models, determines product price elasticity, and identifies and estimates product cross-sell and substitution effects. It does all modeling and analysis directly on the data within a data warehouse system, without any data extraction or manual data preparation. Output from the analytic application can be used operationally to set new product prices, or the application can be utilized as a decision support tool to help retailers understand the influencers on their product sales and profitability.

Abstract: Report specification generators, interfaces, and methods are provided. Existing specification objects are selected from a data store. New specification objects are created as shell specification objects. Moreover, computations are selected from the data store. The specification objects, the shell specification objects, and the computations are organized within a grid. In one embodiment, the grid is used to generate a template report schema. In another embodiment, a preview tool populates the grid with report data in order to present a preview.

Abstract: A method of graphically displaying the path of a customer traversing a web site and related business data is described. The method includes receiving a user request for a visualization. The user request may include data filters and exclusions. Responsive to the user request, traffic data is selected for analysis. The selected traffic data is analyzed and displayed to the user. The display may be in the form of a visualization including a graph and related business data. The graph may be of an overview, referral, path, page-to-page path, and animation type. A system for visualizing traffic patterns and the path of a customer at a site is described in conjunction with the above method. The system includes a logical data model, a dimensional data model, a report specification, a graphical interface, metadata database and an analysis report. The graphical interface is used for viewing visualization information.

Abstract: Methods, systems, and data structures are provided to generate and link reports. Requirements are received and associated with identified report processing objects used to generate report specifications defining a report. In one embodiment, new report processing objects are devised and associated with the requirements and also used in generating the report specifications. Furthermore, report specifications and a data store schema, describing a data store having data used to generate a report, are received. The report specifications and the data store schema are used to generate report metadata that can be linked to a specific report tool used to produce an instance of the report.

Abstract: A visual discovery tool for graph generation is described. The visual discovery tool has a database for storing a data set, rules, and graph types and a graph generator for selectively applying rules and graph types to the data set to generate graphs. In one embodiment, triggers and threshold values are stored in the database to determine the execution of the graph generator. In another embodiment, a user interface enables the customization of the rules and graph types.