Abstract: A method of determining the behavioral outcome resulting from a business rule includes the step of defining at least one player, business rules, and an environment that defines actions that the player can take in accordance with the business rules. The definitions are translated into a codified script. The behavioral outcome resulting from player-selected actions during execution of the codified script are determined.

Abstract: Systems and methods for analyzing legal service providers and unit or ratio costs are provided. Billing data from legal services providers is analyzed to identify common tasks based on task codes. The common tasks are then analyzed to determine a unit cost or ratio cost for the tasks or a ratio cost for the tasks compared to the total costs for a matter. Analysis constraints are applied to the billing data to generate a cost model, which can be output in a variety of different graphical formats. This output, which identifying at least some of the total matter costs on a unit cost or ratio cost basis, allows for comparison of legal services provided by a number of different legal services providers. It also allows for comparing price quotes from a number of legal services providers against each other and against historical cost information.

Abstract: A technique for performing commercial venture analysis involves establishing an empirically-derived structure and evaluating companies using analytical techniques within that structure. The technique may involve defining jobs, or goals a customer is attempting to reach, with dozens or even hundreds of outcomes. Ideally, the structure and tools facilitate analysis that would not be possible otherwise. Moreover, the nature of the system enables real-time input for changing conditions and the ability to calculate returns for new markets in which products or services do not exist.

Abstract: Methods and apparatus are disclosed to predict new product performance metrics. An example disclosed method includes selecting a product hierarchy tree based on a distribution measure for a new product, identifying a segment location of the product hierarchy tree for the new product, retrieving a relationship matrix associated with the segment location of the product hierarchy tree, the relationship matrix comprising available product performance coefficients and attribute information, identifying a spatial location for the new product in the relationship matrix based on the attribute information, calculating, using a programmed processor, an impact parameter based on the spatial location within the relationship matrix, and calculating the performance metric for the new product based on the impact parameter and a channel sales value.

Abstract: Apparatus, systems, and methods operate to partition a product feature set into a set of included features and a set of feature upselling candidates determined by a corresponding set of decision variables. The decision variables can be determined, in turn, by maximizing a profit function comprising a sum of first mathematical products (each product including profit, probability of sale, and a decision variable) over the product feature set, subject to the condition that a sum of second mathematical products (each product including feature utility and a decision variable) over the product feature set is less than or equal to the utility of the product feature set combined with a base product, minus the utility of a competing product. Operations may include designating an initial sales product configuration as a combination of a base product and the set of included features. Additional apparatus, systems, and methods are disclosed.

Abstract: Methods, systems, and computer-readable media provide for determining a plurality of turfs from where to reallocate a workforce to a given turf. According to embodiments, a method for determining a plurality of turfs from where to reallocate a workforce to a given turf is provided. According to the method, an indication of the given turf is received. Optimal turfs from where to reallocate technicians to the given turf are determined from a plurality of turfs. Visual cues for identifying at least a portion of the optimal turfs are generated.

Abstract: A system can create and manage a framework for integrating a plurality of business processes. The system can include a first tier module adapted for managing at least one internal function and at least one service of the plurality of business processes, wherein the business processes include respective predefined goals and objectives. The system can further include a second tier module adapted for managing business initiative solutions and establishing a capability to deploy and manage infrastructure based on the at least one function and at least one service of the plurality of business processes. Furthermore, the system can include a third tier module adapted for establishing an architecture according to the predefined goals and objectives of the plurality of business processes and an integration module adapted for linking the first tier module, the second tier module, the third tier module, or combinations thereof for creating and managing the framework.

Abstract: A system for managing changes to obviate inefficiencies in business processes involves identifying business activities (36) being performed and categorizing (34) the activities. Using the category designations (34) to reveal non-contributory activities, drivers of the causes of inefficiencies are identified. A second set of activities (46) incorporates outcomes of proposed improvements. Linking (38, 40, 42, 44) between existing (36) and improved (46) activity sets ensures necessary activities are incorporated to achieve the desired outcome. Linkages between the activities within the activity set and the business function that performs them also enables accountability and measures to be assigned.

Abstract: Computer-implemented systems and methods are provided for implementing a scenario analysis manager that performs multiple scenarios based upon time series data that is representative of transactional data are provided. A system and method provides candidate predictive models for a first scenario for selection where the set of candidate predictive models includes an identification of variables associated with a model. Model selection data is received from a scenario analysis manager where a selected model is configured to predict a future value of a first variable based on values of a second variable. Time series data is received representative of past transaction activity of the first variable and the second variable, and data representative of a future value of the second variable is also received. The future value of the first variable is determined using the selected model, the time-series data and the future value of the second variable.

Abstract: A method for maximizing revenue generated from a plurality of service level agreements (SLAs) that includes receiving a first subset of the plurality of SLAs for executing a first plurality of jobs, wherein each SLA in the first subset specifies a first maximum requested delay that is greater than an initial minimum offered delay, and wherein a price of each SLA in the first subset is defined by the maximum requested delay and a price/delay function, calculating a first expected revenue from executing the first subset, and optimizing a second subset of the plurality of SLAs by replacing the initial minimum offered delay on the initial price/delay function with a new minimum offered delay based on the expected revenue, wherein each SLA in the second subset specifies a second maximum requested delay that is greater than the new minimum offered delay.

Abstract: A graphical forensic scheduling system is described. The system may receive a data date on a time-scaled project schedule. The system may calculate link gaps based on predecessor and successor relevant dates on either side of the data date. The system may automatically correct logic ties if actual dates for related activities are out-of-sequence. The system may calculate and display forensic floats, forensic drifts, and forensic total floats for actualized activities based on an algorithmic function of all link gaps on either side of the data date, i.e. forensic gap or otherwise. The as-built critical path may be determined based on the forensic total floats. The system may continuously and automatically refresh in real-time, forensic float, forensic drift and forensic total float any time a gap on either side of the data date takes on a revised value due to activities being repositioned on the timescale.

Abstract: A data output device according to the present invention comprises: an output device capable of outputting an image and/or a sound; a memory which stores a plurality of types of output data for outputting the image and/or the sound; a receiver for receiving, from a slot machine, a trigger signal including specification information for specifying the output data; and a controller, the controller programmed to conduct the processes of: (A) receiving the trigger signal from the slot machine through the receiver; and (B) extracting, from the memory, an output data corresponding to the specification information included in the trigger signal and causing the output device to output the image and/or the sound based on the extracted output data.

Abstract: The method for reducing vendor bid amounts includes providing a supplier with an invitation to make a bid for supplying a digital print job. The print job is characterized by a demand for a first number of units by a select date. The method further includes determining if a demand condition can be met. The determination includes using historical data to calculate a first commitment quantity for current jobs being provided by the supplier. The first commitment quantity is then used to calculate a second commitment quantity. The second commitment quantity provides an estimate for the number of the units and a date. The second commitment quantity is displayed to the supplier. The method provides the supplier with an option to bid for producing the estimated number of units by the estimated date.

Abstract: A system includes a central server in communication with public agencies through a private network and with local service-providers through a public network. The central server executes a profiling module configured to exchange standardized information with a local service-provider over the public network and with a public agency over the private network; an invoicing module in communication with the profiling module, the invoicing module being configured to process claims submitted by the local service-providers; a compliance module in communication with the profiling module, the compliance module being configured to monitor compliance with contracts between the local service-providers and the public agencies; a demand module in communication with the profiling module for forecasting demand for services; and a procurement module in communication with the profiling module for entering into contracts with the local service-providers.

Abstract: Current monitoring systems often provide the operating condition of a specific component and do not consider the impact of a specific failure upon an entire system or a business. Nor do the current systems provide an avenue for the business to predict the loss, as well as its impact, and make an educated decision of mitigating the loss based upon economic, environmental, and health and safety considerations. Methods and systems are provided for predicting loss events, impacts of loss events, and providing potential corrective measures to reduce or eliminate the occurrence or impact of the loss events. One aspect relates to the use of system-wide information to predict variables that are directly linked to business impact, such as production loss. Extraneous and transactional data are also utilized according to other aspects of the invention.

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 conducting real-time and historical analysis of complex customer care processes, comprising an event collector software module, a complex event processing software module adapted to receive events from the event collector software module, a distributed data storage layer, a business analytics software module adapted to receive and process data from the distributed data storage layer, a distributed configuration software module, and a user interface software module adapted to receive analytics results from the business analytics software module. Upon receiving an event from an event source, the event collector software module at least converts the event into a standard event data format suitable for use by the complex event processing software module and extracts or masks sensitive data from the event based on privacy rules maintained by the distributed configuration software module.

Abstract: Component Business Model (“CBM”) software that can generate and maintain a CBM of an enterprise, with the CBM software including a state change identification module and a create state diagram module. The state change identification module identifies state changes in a Business Asset of the CBM. The create state diagram module creates a state diagram for the Business Asset based upon the changes identified by the state change identification module. In some embodiments, the Business Assets of the CBM for which state diagrams are created will be the predominant assets of Participating Business Components that are involved in a Business Scenario.

Abstract: An analytics system and associated methods are disclosed. The analytics system may be used by site owners and others for various purposes, such as to identify and compare network sites that satisfy particular criteria, to identify and compare keywords associated with these sites, and to assess characteristics of typical users of these sites. One feature of the system includes computer processes for inferring characteristics of users for whom user profile data is unknown or incomplete, and for using these inferred characteristics to more accurately assess the characteristics of typical users of particular sites.

Abstract: Methods and systems for energy benchmarking for gap analysis are disclosed, for example, for a plant in a paper industry having at least one equipment. The method can include a) monitoring the performance parameter of one or more equipments of the plant and/or of one or more other plants and/or of the plant or other plants, the performance parameter being evaluated from design data or plant model or historical operating data or current operating data; b) comparing at least one performance parameter against at least one other performance parameter of the at least one equipment of the one plant or other plant, or of the one plant or at least one other plant or a combination thereof; c) selecting one of the performance parameters from the at least one or other performance parameters being compared; d) setting the value of the selected performance parameter as a benchmark; and e) controlling the plant based on the benchmark.

Abstract: Embodiments of the present invention provide an approach for determining and/or enhancing an organization's agility across one or more computing domains. Among other things, embodiments of the present invention parse and mine organizational documents for relevant data, calculate and weight business agility scores, determine improvements to optimize domain elements to ensure optimal outcomes for customers, prioritize improvements, and/or provide organization agility information for transfer to consultants or the like. It is understood that these functions may be used independently or in conjunction with each other depending on the scope of improvement desired for a particular organization.

Abstract: A method for reducing greenhouse gas emissions by promoting more efficient energy use, by establishing a measure of efficiency, defined as a ratio of a measure of energy use to a measure of production; establishing a reduction schedule that sets limits on the energy efficiency ratio, with the schedule covering a series of compliance time periods and requiring efficient energy use during those time periods; establishing a transferable credit representing an amount of energy and establishing a tradable financial instrument representing a number of energy efficiency credits; issuing a plurality of energy efficiency credits to the entities; establishing a trading system to facilitate the sale and purchase of the financial instruments; and requiring entities to comply with the reduction schedule by making operational improvements or acquiring and surrendering credits to thus increase the efficiency of energy use in turn reducing greenhouse gas emissions.

Abstract: A teaching apparatus for enterprise input-output includes a base, said base defining a market system; a first block body defining a management module; a plurality of bands defining a production system and a product development system module, and a business system module, each band being sandwiched between two adjacent cuboids of the first block body; a vertical column defining a planning system module; a second block body defining a strategy module; a reverse quadrangle cone defining an information processing module; a cuboid vertical column disposed at a top of the reverse quadrangle cone; and a core solid column defining an internal information system, the core solid column penetrating through a center of the first block body, the bands, the vertical column, the second block body, the reverse quadrangle cone, and the cuboid vertical column.

Abstract: A computer-based method and system for AI planning based quasi-Monte Carlo simulation for probabilistic planning are provided. The method includes generating a set of possible actions for an initial state, generating a set of sample future outcomes, generating solutions for each of the sample future outcomes, using an AI planner, generating a set of future outcome solutions that are low probability and high-impact, combining the solutions generated from each of the sample future outcomes with the future outcome solutions generated by the AI Planner into an aggregated set of future outcome solutions, analyzing the aggregated set of future outcome solutions, selecting a best action based at least partially on the analysis of the aggregated set of future outcome solutions, and outputting the selected best action to computer memory.

Abstract: Systems and methods for target optimization using regression are described. The system includes a regression subsystem to generate a function based on metric relationships, and an optimization subsystem to determine parameter values associated with an optimized target. Other embodiments may be described and claimed.

Abstract: A method for verifying and improving a vehicle fault model is disclosed. The method includes analyzing the available field failure data that includes vehicle symptoms and failures for many vehicles. The method performs an analysis using the field failure data that includes using subject matter expert knowledge to determine the most significant failure modes and the most significant symptoms. The method also includes learning simulation parameters from the field failure data and simulating faults using the learned simulation parameters. The method further includes verifying and validating the fault model based on the most significant failure modes and the most significant symptoms from the what-if analysis and the faults identifies by the simulation, and using a diagnostic reasoner to analyze the revised fault model to generate estimated faults. The method then compares the estimated faults to the simulated faults to determine true detection and false alarm rates for a benefit analysis.

Abstract: Computer-implemented systems and methods are provided for determining future profitability for an entity. A present profitability model is generated for the entity based upon present values for a plurality of components of profitability. The present profitability model is used to create a future profitability forecast for the entity.

Abstract: The present invention relates to systems and methods for providing a programmatic approach to guided sales execution. More particularly, the system includes an Executive Engage platform that further includes an impact area model builder, a financial impact model builder, a discovery engine, and an interactive sales process model builder. The impact area model builder is configured for determining at least one impact area for a related group of customers potentially targeted by a sales team promoting a product or service. The financial impact model builder is used for creating a financial impact model for each impact area, wherein the financial impact model shows a beneficial financial impact on the impact area when using the product or service. The discovery engine is configured for creating at least one discovery tool used for collecting information from one of the group of customers to support use of the financial impact models.

Abstract: In some embodiments, a software facility performs a method of automated specification of models, estimation of elasticities, and discovery of drivers using the framework(s) discussed elsewhere herein is provided. The facility first obtains the client, business, and/or brand goals in terms of profit optimization, volume or revenue goals, acquisition of new customers, retention of customers, share of wallet and upsell. In conjunction with these goals, the facility obtains cross-section meta-data related to the planning time horizon, markets, geographies, channels of trade and customer segments. In combination, the goals and meta-data define the structure of the data stack and the number of demand generation equations that are needed.

Abstract: Methods and systems automatically analyze different types of historical automobile parking violations within a predetermined geographic region to produce parking violation trends. Such methods and systems automatically predict the numbers of parking violations that potentially could be issued during a plurality of predetermined work periods based on the parking violation trends. The methods and systems automatically compare the actual number of parking violations issued during the predetermined work periods to the number of parking violations that potentially could be issued during the predetermined work periods to produce a parking violation issuance variance. The methods and systems also automatically identify ones of the predetermined work periods in which parking violation citations could be increased to produce an opportunity report, and output the opportunity report.

Abstract: A capital asset planning system for selecting assets for improvement within an infrastructure that includes one or more data sources descriptive of the infrastructure, one or more databases, coupled to the one or more data sources, to compile the one or more data sources, one or more processors, each coupled to and having respective communication interfaces to receive data from the one or more databases. The processor includes a predictor to generate a first metric of estimated infrastructure effectiveness based, at least in part, on a current status of the infrastructure, a second metric of estimated infrastructure effectiveness based, at least in part, on a user-selected, proposed changed configuration of the infrastructure, and a net metric of infrastructure effectiveness based, at least in part, on said first metric and said second metric.

Abstract: Tools and/or resources which newly become available to a re-entrant flow manufacturing line, data processing pipeline or the like are allocated in substantially real time to processing operations independent of and consistent with a scheduling segment previously generated by dispatching items such as workpieces or data to tools and/or resources of a manufacturing line until the newly available tool or resource can be conveniently included in a subsequently generated schedule segment in order to avoid productivity loss due to schedule latency. Items can be dispatched in a priority order to accelerate completion of processing. A schedule segment including the newly available tool or resource can be facilitated by merging allocations of a real time dispatch list with allocations of a dispatch list corresponding to a previously generated schedule segment.

Abstract: In a method of estimating a replacement cost associated with an existing technology performed by a processor, one or more costs associated with implementing the existing technology are obtained, in which the one or more costs include an environmental cost and a utility cost associated with implementing the existing technology. In addition, an existing net benefit of continuing implementation of the existing technology based upon the obtained one or more costs are calculated.

Abstract: In computer-implemented methods, systems and program products for estimating financial modeling outcomes, financial data are segmented into a number of categories and scenario data for a set of model scenarios are processed to obtain an estimated model outcome distribution. The categories are mutually exclusive and collectively exhaustive of the financial data while the model may be developed by learning from the data. Multiple model tests are performed with samples of the financial data until a cumulative model outcome distribution is within a pre-determined acceptable tolerance limit from a distribution of fully assessed model outcomes obtainable by performing a single test of the scenarios using all of the financial data.

Abstract: A system and method for providing ratings related to a plurality of websites is provided. One embodiment of the system may include program code adapted to execute as a browser toolbar to implement a method comprising retrieving an identifier from the end user computing device, transmitting a request to a remote computer system for a rating value in response to a web page being loaded into the browser, receiving a rating value from the remote computer system, displaying the rating value in the toolbar, receiving a first user rating of the user from the remote computer system, displaying the first user rating in the toolbar, receiving a user input comprising a second user rating from the end user, transmitting the second user rating to the remote computer system, and displaying the second user rating in the toolbar. The remote computer system may store user ratings and reviews and transmit user ratings, an average rating, and a review count.

Abstract: In one embodiment, an analytical system for generating and accessing arguments is disclosed. Each argument is associated with a conclusion indicating whether a particular situation will likely have a negative or positive result. One embodiment of the analytical system includes a database for storing a plurality of templates, each template including a plurality of questions which may be answered to generate a particular argument having an associated conclusion that is based on those answers. The analytical system also includes an argument server that includes means for a user to select a template that is most relevant to a particular situation, means for receiving answers to one or more of the selected template's questions such that a new argument is generated having a conclusion based on those answers, and means for associating supporting evidence provided by the user with each answer.

Abstract: A server for use in selecting a workscope for a system includes a prediction tool configured to identify a plurality of workscopes for the system, wherein each workscope defines a plurality of maintenance activities for a plurality of components of the system. The server also includes a financial model tool coupled to the prediction tool, and an analyzer tool coupled to the prediction tool and the financial model tool. The financial model tool is configured to receive the plurality of workscopes and determine an expected financial impact of the maintenance activities of each workscope for a plurality of future maintenance events. The analyzer tool is configured to receive the plurality of workscopes from the prediction tool, receive the expected financial impact of the maintenance activities from the financial model tool, and determine an expected effect of each workscope during a predefined time interval that includes the future maintenance events.

Abstract: Embodiments of the invention are generally directed to a system and method for service parts planning in a network having one or more service parts. For at least a subset of the one or more service parts, a calculation is performed to determine a location within the network at which allocating the service part provides the greatest gain in system availability per item cost. In an embodiment, the calculations are based, at least in part on machine-specific information. In one embodiment, inventory position is determined based, at least in part, on a unique identifier associated with a service part.

Abstract: In one aspect, a method to estimate training development hours includes receiving data on factors selected by a user using a user interface and using a computer processor to estimate training development hours based on the data on the factors. The method may further include determining the training development hours based on the data on the factors an assigned base development hours, estimated contact hours and an analysis percentage.

Abstract: The present invention accepts attribute information of evaluation subject parts, and judgment standards of parts category by a data acquiring unit; acquires attribute information and chemical substance information relating to a part already inspected; categorizes the relevant attribute information and the relevant chemical substance information to a part group having attribute information of the evaluation subject parts, and a part group not having it; carries out calculation of statistic values of the content rate of a specified chemical substance in each of the parts groups, comparison between difference of said statistic values in each of the parts groups and the relevant judgment standards, and extraction of said attribute information; extracts attribute information and chemical substance information of said parts already inspected, coincident with all of attribute information extracted; and calculates the statistic value such as an average value relating to the content rate of the chemical substance of t

Abstract: In various embodiments, the influence of marketing assets upon an individual are analyzed. In particular, a record of the individual's interactions with a first marketing asset of a first marketing campaign may be stored in a database. Thereafter, the database may be queried to determine whether the individual interacted with the first marketing asset in accordance with defined criteria. If so, the individual may be associated with the first marketing campaign.

Abstract: Methods and apparatus, including computer program products, are provided for scoping a software installation. Related apparatus, systems, methods, and articles are also described.

Abstract: A system and method of modeling an enterprise and its objectives and its information technology system into a single enterprise framework so that the effect of changes in one can be seen as impacting the other. In its preferred embodiment, a generic framework is customized to reflect changes for the industry and the enterprise and its objectives and uses a LOTUS NOTES database with a front-end navigator to make modifications. The enterprise framework includes a section on governance which provides an architectural framework and a management process for the enterprise framework.

Abstract: The invention is a computer-aided method of optimizing advertisements and content by grouping viewers into scientific segments, optimizing an advertisement and pieces of content by scientific segments, selecting an advertisement or content to display to a scientific segment, and creating a scientific targeted advertisement or piece of content.

Abstract: A computer-implemented method for determining an optimal award schedule for satisfaction of energy efficiency and energy supply requirements for a portfolio of one or more buildings. A first auction is conducted so as to receive over a computer network, from one or more prospective efficiency suppliers, a plurality of first bids for the provision of energy efficiency, each such first bid specifying an amount of energy saved and a cost. A computer is used to determine a schedule of remaining portfolio energy supply requirements that would remain after the provision of energy efficiency from at least a plurality of the first bids. A second auction is then run so as to receive over the computer network, from one or more prospective energy suppliers, one or more second bids for a plurality of the remaining portfolio energy supply requirements, each such second bid specifying a cost.

Abstract: Target setting, forecasting, and budgeting methods and tools are provided in which targets are selected at a high level of management through a process of strategic planning to select targets based on a combination of value expected to be added and manageability of the candidate targets, including computer simulations of increased cash flow expected to be generated by the target strategies. The strategically planned targets are then flowed down to the various levels of management, budgets are constructed around those target strategies, and the budgets are then consolidated and flowed upward. By defining organizational targets and then aligning those targets with strategic goals from the beginning, the number and scope of iterations of budget adjustments can be reduced.

Abstract: Systems and methods are provided for a computer-implemented method for automatically generating a weighted average forecast model that includes receiving a plurality of forecasting models and time series data. At least one parameter of each of the received forecasting models is optimized utilizing the received time series data. A weighting factor is generated for each of the plurality of optimized forecasting models utilizing an information criteria value indicating fit quality of each of the optimized forecasting models, and the generated weighting factors are stored.

Abstract: Robust forecasting techniques are relatively immune from anomalies or outliers in observed data, such as a stream of data values reflective of the operation or use of a computer system. One robust technique provides a relatively accurate forecast of seasonal behavior even in the presence of an anomaly in corresponding historical data. Another robust forecasting technique provides a relatively accurate forecast even in the presence of an anomaly that spans multiple recent observations. In one embodiment, both techniques are used in combination to automatically detect anomalies in the operation and/or use of a multi-user computer system.

Abstract: A method of generating a quantitative indicator of sales for a market segment for a predetermined time period is disclosed. The market segment represents a plurality of members with one or more products. The method includes receiving sales data from the plurality of members of the market segment, calculating the quantitative indicator for each member of the market segment, calculating the quantitative indicator for the market segment by creating a composite of the quantitative indicator for each member representing the market segment, and either calculating the quantitative indicator for the member with missing data using a estimated value of units of the product sold by the member or modifying the baseline benchmark by removing the data of the member with missing data.

Abstract: The instant specification discloses methods and means for enhancing and sustaining performance efficiencies within an organization, the methods and means including at least an operational methodology and a software package. Using the Methodology with the related software enables an organization to effectively plan, document, manage and continuously improve its operations in order to achieve (and possibly exceed) its business goals. Therefore, the Methodology and the related System enable an organization to safely and efficiently achieve business excellence and sustain it over time.