Knowledge Analytics (SM) is a seven-step process for deploying KM approaches, evaluating their impact, and using the resulting analysis to improve business decision making.

Knowledge Analytics (SM) is a process designed to facilitate conversations with senior leaders and assimilate new, data-driven insights about knowledge into business decision making.

Once an organization has determined the ultimate objectives of its knowledge management (KM) program, it should let those objectives steer the design of its knowledge-sharing and collaboration initiatives.

A successful knowledge management (KM) measurement strategy begins with effective KM tools and approaches focused on critical business processes.

APQC recommends that organizations design their knowledge management (KM) approaches to reflect their internal structures, technical disciplines, and/or project management capabilities.

To encourage employees to get involved in knowledge management (KM), APQC recommends embedding competency development and career progression support in KM approaches.

According to APQC’s Collaborative Benchmarking research, best-practice organizations build strong business cases for their knowledge management (KM) programs.

To maximize the benefits of their knowledge management programs, organizations must not only implement tools and approaches for knowledge sharing, but also embed those tools and approaches in the flow of employees’ d ...

El Paso Exploration & Production has found synergies between its KM and HR programs, leveraging networks of excellence to help manage competencies, identify subject matter experts, and uncover potential skill ...

Many organizations are still struggling to establish comprehensive, systematic processes for knowledge capture and transfer and to embed those processes in the workflow.