Data is key to understanding how a process is performing, but it can lead organizations astray if they use it incorrectly. In this podcast, Mercy Harper talks with APQC’s John Tesmer and Holly Lyke-Ho-Gland about the traps organizations fall into with process performance data and why organizations should think holistically about process and data for machine learning.
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Voice of Conference: Process Management Edition
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Alex Pentland, head of the Human Dynamics Laboratory at MIT Media Lab
Dr. David Eagleman Talks About Tacit Knowledge & How We Learn
One of the Grandfathers Of KM, Bob Buckman, talks about need for rapid response
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