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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Finance Process Developments That Deserve Attention
Common Mistakes Made Managing People and How To Fix Them
Turning Data Into Story People Will Understand With Narrative Science CEO
Process Management Case Studies: How They're Created and Why We Love Them
Why Human Resources Affects Parts of An Organization You Might Not Think Of
How To Make Sure Mentoring Works For Your Organization
Challenge of Continuous Improvement in Finance
Keys to Effective Product Development Focused on Design-to-Cost
Why Are Some Organizations Still Scared of Analytics?
Louis Richardson of IBM on Changing of Collaboration, KM, and Better Business Results
Knowledge Management 101
Making Onboarding Fun Again—It Won’t Cost You A Dime!
Dodging Icebergs: Why Organizational Agility Matters in 2016
Dr. John Medina on Connections Between Our Brains, KM, and Organizing Information
APQC’s KM Experts Explore the Impact of Cognitive Computing
Business Risks are Crouching Tigers -- Fierce as Ever
What Airbnb Can Teach KM About Transformation
Who Should Care About Predictive Workforce Analytics and Why?
The 2016 APQC Process Management Research Agenda
Why Smartphones Are Ruining Conversation
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