Tracking is a fundamental knowledge process, primarily based on persistence and analysis of operational contexts.
As knowledge resources are processed, other resources are recording the occurring contexts.
Operational context analysis is a knowledge rich process that also acts as a validation and optimization tool, for both the primarily transacted resources as well as to their operational contexts.
With well integrated and configurable tracking of all resource operations, including work-flow, access, events, behavior, processes, states, statistics, KPIs, performance, satisfaction, systems, resources, relations, users, agents, contexts, configurations, etc., knowledge-architecture-based resource entitlement, modeling, management, and sharing frameworks for distributed computing environments are well suited to support more advanced and sophisticated applications, with only very moderate computing-system complexity increase, as for example, with Adaptive Case Management (ACM), where compound resources like documents, projects, or cases of all types, need to be tracked and managed across processes, typically with dedicated activities, milestones, and approval points or stages, typically also with expert-resource analysis, evaluation, decision, and intervention at different ACM stages.
Dependent on effective tracking support, control and monitoring through modeling operations (See Modeling above), interacting with resources in and across processes, as well as constrained through executable governance (See Governance below), ACM typically represent a most demanding knowledge management application set.
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