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.

Quantitative metrics reveal how and when employees engage in knowledge management (KM) approaches, but they can’t always convey the motivation behind engagement or what the eventual outcome is.

When designing measures for a knowledge management (KM) program, return on investment often takes center stage.

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

These are slides from APQC’s December 2011 knowledge management (KM) community call presentation.

Many organizations have achieved competitive advantage by convincing key employee groups to take advantage of knowledge management (KM) tools and applications.

Natural gas company El Paso Corporation has figured out how to successfully measure knowledge management value and communicate that value to senior leadership.

These are slides from APQC’s October 2011 knowledge management (KM) community call presentation. The call featured Paul Penaloza of APQC and Dr.

Knowledge management (KM) leaders want to know how their approaches, processes, and tools are performing and where they should invest to achieve targeted improvement.