Abstract: In an illustrative embodiment, methods and systems for modeling a layered or tower pricing program based upon limited layered or tower pricing structure data includes accessing pricing structure data having a number of layers, determining a base curve algorithm for representing an estimation of an optimally efficient pricing structure based upon the pricing structure data, the base curve algorithm representing a statistical distribution, and calculating, using the base curve algorithm and the pricing structure data, a fitted curve fitted to attachment points of the pricing structure data. The fitted curve may be used to estimate layer information and missing data points within one or more layers of the pricing structure data. By repeating the process for a number of competitors, peer comparison data may be generated to present comparisons of otherwise incompatible layered or tower pricing programs.

Abstract: In an illustrative embodiment, systems and methods for secure access to dynamic analytics content include receiving a request for analytics information from a user at a computing device, confirming the user's access rights, embedding access credentials within a resource link for accessing the visualization content, and supplying the resource link to the user's computing device for use in obtaining the analytics information, where, upon the computing device following the resource link, the access credentials are confirmed and visualization content is provided to the user.

Abstract: In an illustrative embodiment, systems and methods for bulk user setup include a bulk user registration interface presented to an end user to supply user information and a custom API handler for translating the user information into individual user setup requests recognizable by a content management system (CMS). The systems and methods may additionally include an integration engine for supplying user setup requests to one or more third-party systems integrated with the CMS within a data analytics ecosystem, such as a content development system. The integration engine may be implemented as a custom web part configured to interface with the custom API handler, the CMS, and one or more third-party systems.

Abstract: The present disclosure relates to methods and systems for accelerating the development and distribution of data science workloads, including a consistent, portable and pre-configured data science workspace for development of data science containers allowing for the creation of a standardized, modular and reusable library of data science containers that can be maintained, extended and reused in a clear and repeatable manner. The containers may be submitted to a build and deployment process that ensures consistency across multiple environments in terms of the application code and the operating system environment. Runtime execution may be managed through the authoring of definitions which detail aspects of how the workload should operate within a certain environment.

Abstract: In an illustrative embodiment, methods and systems for integrating web content generated by a content management system (CMS) with dynamic content generated by a content development system include an API handler of the CMS configured to communicate an action received from a remote computing device to a web part, where the web part interfaces with both the CMS and a web application framework to coordinate response to the action and to inject information regarding the dynamic content into the web content for use by the remote computing device. The remote computing device may include a view provider module configured to access the dynamic content using the injected information.

Abstract: Systems and methods for matching subscribers with subscription providers include gathering, via a network from one or more remote computing systems, claims data, performance data, and service data regarding a number of providers; determining, by processing circuitry of a computing device based on the claims data, the performance data, and the p service data, one or more provider metrics for each provider of the number of providers; calculating, by the processing circuitry based on the one or more provider metrics, one or more relationships between a number of subscribers and each provider of the plurality of providers; and ranking, by the processing circuitry, the number of providers based at least on part on the one or more relationships.