Transforming Knowledge Management Systems with Analytics (Published)
This article examines how analytics integration transforms traditional knowledge management systems from static repositories into dynamic, responsive assets that significantly enhance organizational performance. The article demonstrates how embedding measurement capabilities as foundational design principles rather than retrospective additions creates self-optimizing knowledge ecosystems that continuously align with evolving user needs and organizational priorities. The article reveals that analytics-driven knowledge management delivers substantial improvements in information retrieval efficiency, reduces dependency on support resources, and dramatically increases self-service adoption rates. Beyond these operational benefits, the article fosters a fundamental shift in organizational knowledge culture toward evidence-based content governance and user-centered design. This article contributes to both theoretical understanding and practical application by illustrating the mechanisms through which analytics transforms knowledge management systems from passive information storage to active knowledge enablement. For organizations seeking to maximize returns on knowledge investments, this article provides a comprehensive framework for implementation along with critical insights into success factors, potential challenges, and sustainability considerations in complex technical environments.
Keywords: data-driven content governance, information retrieval optimization, knowledge activation metrics, knowledge analytics, self-service knowledge systems