Abstract:
Embodiments of the present invention address the above needs and/or achieve other advantages by providing a method, system, computer program product, or a combination of the foregoing for creating a knowledge management system for production support that is standardized and centralized across the channels and sub-channels in an organization. The knowledge management system receives information relating to incidents from databases in the organization. The knowledge management system displays via a user interface at least the following information related to at least one incident, the current status of the incident, the recovery guidelines for effecting resolution of the incident, and scoring values associated with the incident. The knowledge management system also stores and displays historical information, contact information, incident reports, and outstanding incident tickets associated with the incident, as well as process maps or flowcharts for systems, applications, and customer views, and an academy for training associates.
Abstract:
Embodiments of the present invention provide systems, methods, and computer program products for an operational reliability index (“ORI”) scoring system in the knowledge management system that is standardized and centralized across the channels and sub-channels in an organization. The ORI system scores the reliability or confidence of the channels, sub-channels, and applications in an organization. The ORI receives reliability data associated with one or more predictability factors related to a business application. The ORI determines predictability factor reliability scores for each of the one or more predictability factors based on the reliability data and weighted values assigned to the predictability factors. Weighted values are also assigned to the categories, applications, sub-channels, and channels. The ORI determines at least one of a category reliability score, application reliability score, business sub-channel reliability score, or business channel score based on the determined predictability factor reliability scores and the weighted values.