Κnowledge Architecture: Combining Strategy, Data Science and Information Architecture to Transform Data to Knowledge at NASA artwork
The Connected Data Podcast | CDW

Κnowledge Architecture: Combining Strategy, Data Science and Information Architecture to Transform Data to Knowledge at NASA

  • S2E6
  • 49:09
  • July 5th 2021


"The most important contribution management needs to make in the 21st Century is to increase the productivity of knowledge work and the knowledge worker", said Peter F. Drucker in 1999, and time has proven him right.


Even NASA is no exception, as it faces a number of challenges. NASA has hundreds of millions of documents, reports, project data, lessons learned, scientific research, medical analysis, geospatial data, IT logs, and all kinds of other data stored nation-wide.


The data is growing in terms of variety, velocity, volume, value and veracity. NASA needs to provide accessibility to engineering data sources, whose visibility is currently limited. To convert data to knowledge a convergence of Knowledge Management, Information Architecture and Data Science is necessary.


This is what David Meza, Acting Branch Chief - People Analytics, Sr. Data Scientist at NASA, calls "Knowledge Architecture": the people, processes, and technology of designing, implementing, and applying the intellectual infrastructure of organizations.

The Connected Data Podcast | CDL

Welcome to the Connected Data Podcast, powered by Connected Data World, the leading conference for those who use the relationships, meaning and context in Data to achieve great things


Stay tuned and dive into our diverse content. Learn & share!


The CDW Team