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.

APQC’s Knowledge Management (KM) Capability Assessment Tool is a diagnostic that lets KM practitioners measure every aspect of their KM programs, from strategy and business case development to specific processes and ...

Many organizations want to enhance their knowledge management (KM) capabilities and embed knowledge-sharing behaviors, but don’t know where to start.

These are slides from APQC's May 2009 knowledge management (KM) community call presentation.