241 results about "Drill down" patented technology

A data structure visualization tool visualizes a data structure such as a decision table classifier. A data file based on a data set of relational data is stored as a relational table, where each row represents an aggregate of all the records for each combination of values of the attributes used. Once loaded into memory, an inducer is used to construct a hierarchy of levels, called a decision table classifier, where each successive level in the hierarchy has two fewer attributes. Besides a column for each attribute, there is a column for the record count (or more generally, sum of record weights), and a column containing a vector of probabilities (each probability gives the proportion of records in each class). Finally, at the top-most level, a single row represents all the data. The decision table classifier is then passed to the visualization tool for display and the decision table classifier is visualized. By building a representative scene graph adaptively, the visualization application never loads the whole data set into memory. Interactive techniques, such as drill-down and drill-through are used view further levels of detail or to retrieve some subset of the original data. The decision table visualizer helps a user understand the importance of specific attribute values for classification.

An interactive education tool for graphically representing components of a complex system. When the user selects a displayed component of the system, the tool provides educational information relating to the selected component. A user may then “drill-down” further into the display of the system in order to obtain additional information regarding the selected component.

A method and system allowing a user to interrogate external financial data quickly and efficiently and to drill up or drill down and across multiple graphical displays (“maps”) of information. Maps offer multiple dimensional filtration functionality enabling a comparison between different investment strategies. External financial data is received and calculations can be performed on the external financial data to generate one or more indicators. Internal financial data is calculated from one or more of the external financial data and the indicators. Filters are applied to the external and internal financial data, and the indicators. The filtered data is used to generate maps of certain data usually plotted against external and internal financial data or indicators. Icons are generated adding another dimension to the map without adding an additional axis of data. Further “depth” to a map can be added by generating a sub-map or a historical movement map.

A system and methods for generating and presenting recommendations of places to eat based on a user's preferences and profile. A set of preferences and ratings are maintained by multiple users which are used to filter and generate rating estimations. Preferences and ratings of other user's with similar preference profiles are used to increase or decrease the recommendations. The location and preferences of multiple users can also be compared to provide eating recommendations for a group of users. The recommendations and ratings can be drilled down to specific menu item for determining recommendations on the full meal or a specific item. The system can also be used by the restaurant owner to identify potential customers, target marketing messages, identify problems with the menu or staff, and improve the impression and quality of the restaurant and food.

A software system automatically and dynamically generates a fully functional user interface (UI) based upon, and connected directly to, an underlying data model (as instantiated within a relational database management system (RDBMS)). The UI derives from an automated interrogation of the RDBMS, and comprises all mode displays (e.g., browse, search, edit, add) for all tables, and a full complement of mechanisms—integrated directly into the mode displays—for representing, navigating, and managing relationships across tables, regardless of the complexity of the underlying RDBMS schema. It utilizes a hierarchical “context stack” for suspending the working state of a particular table while “drilling down” to work with related-table information and return relevant changes to the base table. The embodiment further provides methods to enhance and extend the internal representation of table structures, constraints, relationships, and—special requirements (“business rules”) for improved revelation of the schema structure through external interrogation.

Data cells in a spreadsheet report are collapsed and expanded without disrupting other spreadsheet data. A user may want to drill down on data corresponding to a parent member of the report to display more detailed information about the parent member. Likewise, a user may want to drill up the displayed information corresponding to the parent member to hide detailed information associated with the parent member. Before expanding or collapsing a report, the spreadsheet is scanned for information to determine whether the display of other data in the spreadsheet would be disrupted by the expansion/collapse. The information may include cross-join information associated with the parent member, the number of child members associated with the parent member, the dimension of the report created by the parent member and the associated child members, and other reports that may be linked to the report that includes the parent member.

Anomalous behavior in a distributed system is automatically detected. Metrics are gathered for transactions, subsystems and/or components of the subsystems. The metrics can identify response times, error counts and/or CPU loads, for instance. Baseline metrics and associated deviation ranges are automatically determined and can be periodically updated. Metrics from specific transactions are compared to the baseline metrics to determine if an anomaly has occurred. A drill down approach can be used so that metrics for a subsystem are not examined unless the metrics for an associated transaction indicate an anomaly. Further, metrics for a component, application which includes one or more components, or process which includes one or more applications, are not examined unless the metrics for an associated subsystem indicate an anomaly. Multiple subsystems can report the metrics to a central manager, which can correlate the metrics to transactions using transaction identifiers or other transaction context data.

A system and method to visually navigate hierarchical data groups are provided. If a user wishes to graphically view network traffic for a particular business group of network nodes, a network topology navigation tool may be provided to display to the user such information that is relevant to the selected business group and the corresponding hierarchy level. The user may also be permitted to access more detailed connection information through appropriate drill-downs.

A system generates linked sets of drill-down-enabled reports of increasing levels of detail from one or more databases. Linking relationships between reports are defined using the query language of the databases. Result sets are obtained that includes (1) the sought-after data, and (2) metadata that identifies drill-down reports to be generated if related report elements are selected. When the query is executed, the system passes the sought-after data to a reporting application programming interface, which generates a report (e.g., a pie chart, 3-D bar chart, cross-tabbed table). If an end-user selects one of the report elements (e.g., a bar on the chart), the system maps the reported event to the associated data of the result set. If the associated data has corresponding meta-data containing a drill-down directive, the system then generates the report identified by the drill-down directive.

A user interface may be designed to receive conflicting data from multiple data sources during a merger of legacy computer systems. The interface automatically validates the conflicting data against each other to generate a final data set for review. Summary information for each data set can be displayed in a single interface such that the summary data sets are individually selectable and provide an overview of the data merger process for each data set. By drilling down through the summary data, the user interface can display individual data sets where data conflicts can be resolved, missing data can be provided, and duplicate data can be eliminated. When the merger process is complete, the interface can translate the data set into a standardized format that can be exported to form generation modules to generate, for example, a welcome letter based on the translated data set.

A collection of data is processed and information arising from the processing can be distributed in a variety of ways to support a decision-making process. A query-analyze-distribute approach can be used, and queries, analysis directives, and distribution directives can be associated into a sequence and shared. Access to interim processing is provided, allowing recipients of information to more easily understand and refine the processing. Unbound queries, unbound analysis directives, and unbound distribution directives can be used and shared so that the queries, analysis directives, and distribution directives can be tailored to a particular situation via binding. The query, analysis, and distribution processing can be loosely-coupled to allow easy interchange and combination of sequence elements. A sequence can be scheduled for periodic execution, and distribution of data can be limited to instances when data falls outside of certain expected values. A decision-making process can be automated by creating an executable workflow. The environment in which the workflow is executed can support a rich set of features, including gating, branching, drill down, and execution tracking. A decision-making process based on a sequence can be refined by employing executable metasequences.

Some embodiments provide a credibility system including an interface portal for presenting a holistic view of entity credibility. To provide the holistic view, the credibility system aggregates credibility data from multiple data sources. The aggregated credibility data is processed and ordered to present different dimensions of entity credibility, with each dimension graphically presented in the interface portal through an interactive credibility module. In some embodiments, the credibility data associated with each credibility module is processed to produce at least one value that quantifiably represents the credibility data. In some embodiments, the credibility data associated with each credibility module is hierarchically ordered to present the credibility data in a drill-down fashion with each hierarchical layer presenting more detailed credibility data for better understanding the credibility data presented in the preceding layer.

The present invention is directed to a method and system for identifying, quantifying and presenting to a user constraints in an automated manufacturing or processing facility. A data processing system continuously receives basic status signals and state signals from automation equipment in the facility and evaluates and processes these signals to derive a throughput capability measure (a measure of constraint) of each given manufacturing workstation in the process. The throughput capability measure is expressed as a ratio of an ideal cycle time to an accumulated overcycled time. The accumulated overcycled time includes only delays and excludes any speed-up of a workstation. A constraint is identified as the workstation that has the lowest throughput capability measure as compared with all other workstations in a production line. Preferably, throughput capability measures for all workstations are presented to users graphically. Further drill-down can be provided for obtaining more detailed information about the constraint and capacity loss as well as entering information relevant to the constraint, such as a stoppage or slow-down.

An outsourcing command center collects and processes outsourcing data for multiple engagements and multiple outsourcing offerings. The command center may apply a metric set to the outsourcing data that is broadly applicable across multiple outsourcing offerings, but also tailored to specific outsourcing offerings, and extended by engagements to meet their particular metric reporting criteria. The command center provides a portal through which an engagement may access processed metric information for outsourced functions, including metric reporting screens with convenient drill-down link sets to display progressively more detailed views of metrics processed for the engagement.

Some embodiments of the invention provide a single-select method and system for launching clinical information in multiple dashboards based on a selection of a single piece of clinical information (e.g., based on a cursor-click selection of a patient name in a patient list). In some embodiments, each launched dashboard is a single “flat” dashboard that cannot be “drilled down” to another dashboard. In other embodiments, each launched dashboard can be a drilldown dashboard, i.e., a dashboard that is several dashboards that are linked together so that a user can navigate between them by selecting items displayed in the dashboards (e.g., by traversing from a first dashboard to a second dashboard through a selection of an item in a window pane of the first dashboard). Accordingly, some embodiments use the single-select method of some embodiments in lieu of drill-down dashboards, while other embodiments use the single-select method in conjunction with drill-down dashboards.

The present invention relates to systems and methods for searching an information directory in such a manner that it is easy to search, drill down, drill up and drill across an information directory using multiple independent hierarchical category taxonomies of the directory.

Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.

A system and method for conducting surveys, and, more particularly, an at least partially automated and efficient system and method for collecting, processing, and displaying customer satisfaction survey information that enables a product or service provider to evaluate the quality of goods and/or services received based on ratings and reports obtained by performing surveys of customers, employees, and/or staff. The system utilizes an execution platform using a clinical process improvement methodology. The system provides the execution platform with software scripts implementing the clinical improvement process, using drill-down questioning techniques and verbatim comments tailored to the survey participants comments and/or status information to gain insights into the participants' reasons for their opinions. The system obtains raw survey data and processes that data into useful survey information, such as graphs and charts, for presenting to survey consumers (i.e., system users) who may be remotely located. In this way the system and method can be utilized in a quality improvement program for any service or product provider.