Knowledge Analytics: Business Analytics for Knowledge Management
These are exciting times for knowledge management: social media has reinvigorated many programs; we know the best practices for developing and implementing a KM strategy; mobile devices have revolutionized the way we work; measurement has gotten more sophisticated. What better time for a leap forward in how we understand KM’s impact on the business?
Knowledge Analytics (SM) is a special type of business analytics, applied to organizational knowledge. The purpose of Knowledge Analytics is to help everyone understand the impact of KM approaches on business processes and make better decisions about KM investments. Knowledge Analytics will:
- help leaders make better decisions;
- enable practice leads, product development managers, and project managers to use organizational capabilities more wisely;
- help the KM team spot important patterns of sharing early on; and
- allow organizations to seize business opportunities that involve competing on knowledge.
The Knowledge Analytics process was designed by the 2012 APQC Knowledge Management Advanced Working Group (KM AWG), building on a foundation of previous APQC research and methods. I will provide a sneak peek of the process during my keynote at APQC’s 2012 KM Conference this April—along with an exploration of what I see as the important trends and techniques transforming KM today. Later that day, the KM AWG members will explain the process and give conference attendees a detailed white paper describing how to use it. See you there!Tweet