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.

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.

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 ...

Most organizations make some effort to measure participation in their knowledge management (KM) programs, but the best-of-the-best go beyond simply tracking activity levels.

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

How do maturity models work, and what is the purpose of measuring an organization's maturity in knowledge management (KM)?

This short, 15-question assessment is designed to help you determine the current state of knowledge management (KM) at your organization.  This tool is an abbreviated version of APQC's KM Capability Assessment Tool, ...

This article lists examples of measures that organizations can use to track collaboration activity, participation, and outcomes.