Abstract: A method for estimating a risk associated with a project includes preparing a plurality of data models, where each of the plurality of data models examines a different dimension of the project, classifying each of the plurality of data models to produce a plurality of prediction models, where each of the plurality of prediction models is defined by a plurality of quality metrics, and where the plurality of quality metrics includes a preliminary estimate of the risk and a measure of confidence in the preliminary estimate, and computing a refined estimate of the risk based on a quality of the plurality of quality metrics.

Abstract: Ranking a plurality of objects includes obtaining an initial set of data relating to the objects, generating an initial set of estimates based on the initial set of data, wherein the initial set of estimates includes, for each of the objects, an initial estimated change in performance and an initial estimated likelihood of decline in the performance, incrementally and dynamically refining the initial set of estimates in accordance with a new set of data from new data sources and relating to the objects to produce a refined set of estimates, wherein the refined set of estimates includes, for each of the objects, a refined estimated change in performance and a refined estimated likelihood of decline in the performance, without modifying or replacing a system used to generate the initial set of estimates, and generating a list that ranks the objects according to the refined set of estimates.

Abstract: A system and method for scheduling resources includes a memory storage device having a resource data structure stored therein which is configured to store a collection of available resources, time slots for employing the resources, dependencies between the available resources and social map information. A processing system is configured to set up a communication channel between users, between a resource owner and a user or between resource owners to schedule users in the time slots for the available resources. The processing system employs social mapping information of the users or owners to assist in filtering the users and owners and initiating negotiations for the available resources.

Abstract: A method of generating a recommendation reducing a cost of subject attrition includes generating a plurality of policies, wherein each of the plurality of policies models a dependence of an attrition risk of each of a plurality of subject categories on a plurality of payment components of the plurality of subject categories, and each of the plurality of policies is associated with a respective set of weights on the plurality of subject categories, determining a benefit of each of the plurality of policies, selecting a selected policy from among the plurality of policies according to the benefit, and generating a recommendation for adjusting a specific payment component of a specific subject for each policy according to the selected policy.

Abstract: A method of generating a recommendation reducing a cost of subject attrition includes generating a plurality of policies, wherein each of the plurality of policies models a dependence of an attrition risk of each of a plurality of subject categories on a plurality of payment components of the plurality of subject categories, and each of the plurality of policies is associated with a respective set of weights on the plurality of subject categories, determining a benefit of each of the plurality of policies, selecting a selected policy from among the plurality of policies according to the benefit, and generating a recommendation for adjusting a specific payment component of a specific subject for each policy according to the selected policy.

Abstract: A plan to incentivize performance is obtained based on objective and subjective metrics. A first step encompasses understanding the effect of actions on each objective metric on future service provider performance. A subset of objective metrics is obtained via regression analysis. For the subset identified in the first step, a set of clusters is identified in the multi-dimensional space of objective metrics. For each cluster, actions based on service provider performance relating to subjective metrics are effected. Expert guidance based on macroeconomic factors are further considered.

Abstract: A method of allocating a new incentive to a portion of a population includes identifying a plurality of group features of the population based on retention data clustering members of the population into a plurality of groups having similar risk profiles based on the plurality of group features and a plurality of categorical factors, dividing each of the plurality of groups into an experimental group and a control group respectively corresponding to members of the population that have received a previous incentive and that have not received the previous incentive, computing an effectiveness score of the previous incentive for each group based on a comparison of the corresponding experimental group and the corresponding control group, and generating a set of potential target groups for the new incentive based on the effectiveness scores.

Abstract: A method of allocating a current incentive to a portion of a population includes identifying a plurality of group features of the population based on retention data, clustering members of the population into a plurality of groups having similar risk profiles based on the plurality of group features and a plurality of categorical factors, dividing each of the plurality of groups into an experimental group and a control group respectively corresponding to members of the population that have received a previous incentive and that have not received the previous incentive, computing an effectiveness score of the previous incentive for each group based on a comparison of the corresponding experimental group and the corresponding control group, and generating a set of potential target groups for the new incentive based on the effectiveness scores.

Abstract: In an economic relationship between a first party and a plurality of second parties in connection with provision of at least one of goods and services for a fee, costs incurred by the first party, in connection with a loss of at least some of the second parties to the relationship, are estimated. A response curve of second party loss probability versus fee is also estimated. An optimal value of a modification to the fee is determined, such that profits of the first party are maximized, taking into account the costs incurred by the first party in connection with the loss of the at least some of the second parties and the response curve of the second party loss probability versus the fee. At least one action to take in response to the determining of the optimal value is determined.

Abstract: A system and method for scheduling resources includes a memory storage device having a resource data structure stored therein which is configured to store a collection of available resources, time slots for employing the resources, dependencies between the available resources and social map information. A processing system is configured to set up a communication channel between users, between a resource owner and a user or between resource owners to schedule users in the time slots for the available resources. The processing system employs social mapping information of the users or owners to assist in filtering the users and owners and initiating negotiations for the available resources.

Abstract: Proactive demand shaping of configurable products with uncertain demand computes a lower bound and an upper bound on optimal profit by considering future demand distribution of one or more products, supply outlook of one or more components and customer behavior. The upper bound and the lower bound solutions are used to generate one or more rationing heuristics. Simulation may be used to determine a rationing policy to implement in practice.

Abstract: A system and method for scheduling resources includes a memory storage device having a resource data structure stored therein which is configured to store a collection of available resources, time slots for employing the resources, dependencies between the available resources and social map information. A processing system is configured to set up a communication channel between users, between a resource owner and a user or between resource owners to schedule users in the time slots for the available resources. The processing system employs social mapping information of the users or owners to assist in filtering the users and owners and initiating negotiations for the available resources.

Abstract: A method of dynamic pricing of a resource is presented. For example, the method includes determining a set of anticipated demands for one or more users to acquire the resource according to uncertainty of the one or more users in preferring one or more certain time periods of a plurality of time periods for acquiring the resource. Prices for the resource differ between at least two of the plurality of time periods. Each anticipated demand of the set is associated with a different one of the plurality of time periods. The method further includes setting prices for the resource during each of the plurality of time periods according to the determined set of anticipated demands. The determining of the set of anticipated demands and/or the setting of prices are implemented as instruction code executed on a processor device.

Abstract: Potential customer loss is identified under circumstances where structured data may be ineffective. Game theory analytics of customer loss enable the construction of a parameter list to be screened. Concepts are associated with the parameters and their ranges. Keywords associated with the concepts are mined by an extraction engine to identify contact records of customers at risk of loss. Appropriate customized loss mitigation and customer retention strategies can be implemented.

Abstract: A system and method for scheduling resources includes a memory storage device having a resource data structure stored therein which is configured to store a collection of available resources, time slots for employing the resources, dependencies between the available resources and social map information. A processing system is configured to set up a communication channel between users, between a resource owner and a user or between resource owners to schedule users in the time slots for the available resources. The processing system employs social mapping information of the users or owners to assist in filtering the users and owners and initiating negotiations for the available resources.

Abstract: A system and method evaluate product substitutions along multiple criteria in response to a sales opportunity, for instance, providing sales recommendations of configurable products in response to a customer request based on propensity functions. A customer propensity is determined to estimate attractiveness of a substitute product to a customer based on one or more attributes. A seller propensity is determined to estimate attractiveness to a seller of selling the substitute product based on one or more attributes. The customer propensity and the seller propensity are combined to find a plurality of substitute products.

Abstract: A method, data processing system, and computer program product for managing communications sent to a plurality of customers are presented. A set of features of a customer in the plurality of customers and a plurality of channels for communicating with the customer are identified. A number of times to test the plurality of channels is identified based on a number of customers in the plurality of customers. A weighting for the set of features of the customer is identified from results of testing a channel in the plurality of channels. The weighting is identified in response to determining that the plurality of channels have been tested the number of times. A probability of success in using the channel to communicate with the customer is identified based on the weighting and the set of features. A determination is made whether to use the channel to communicate with the customer based on the probability.

Abstract: Exemplary embodiments of this invention provide a method that includes estimating an empirical distribution of a metric for a company. The method includes estimating a distribution of the metric for a plurality of companies. The method further includes determining whether the company is an outlier, based on the empirical distribution of the metric for the company and the distribution of the metric for the plurality of companies, and generating at least one recommendation based determining whether the company is an outlier.

Abstract: A computer implemented method, a data processing system, and a computer readable storage medium having a computer program product encoded thereon for determining a probability of an action being performed by a party at risk of performing the action. Input information that is pertinent to determining whether the party is at risk of performing the action is received by a data processing system. The data processing system forms an incentive structure for the party based on the received input information, the incentive structure comprising a probability of the party performing the action, and determines an optimal probability of the party performing the action based on the formed incentive structure.

Abstract: Computer implemented method, data processing system, and computer readable storage medium having computer program product encoded thereon for identifying a contact mode for contacting parties to maximize a probability of achieving a desired outcome. A plurality of parties are divided into a plurality of clusters of parties according to a list of attributes that are statistically significant with respect to achieving a desired outcome. A subset of parties from each cluster of parties of the plurality of clusters of parties are selected, and parties in each subset of parties are contacted by different ones of a plurality of contact modes. A result of the contacting for each subset of parties is analyzed to identify a contact mode of the plurality of contact modes for contacting the parties in each cluster of the plurality of clusters that maximizes a probability of achieving the desired outcome.