January 14, 2021

Chris Kunze - Applicability of Predictive Models for Assessments in the World of HR

36 minutes

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While insights certainly measure the past, data can also be used to predict the future. Chris Kunze is the Founder and President of Kunze Analytics where he assists decision-makers, sales leaders, HR professionals, trainers, and coaches in order to predict employee performance, retention, engagement, and safety. Chris is a self-proclaimed Data Geek who dives into the data to find ‘hidden talent.’

Let’s get a bit technical today and learn from Chris how he uses the Predictive Model Markup Language used to create and run models in different software packages.

[00:01 - 05:18] Opening Segment

Let’s get to know Chris Kunze

Chris gives some background on himself

Chris talks us through some of the in and outs of PMML

[05:31 - 07:41] Why PMML is Useful

The value and importance of having a common language

Automating your process

[07:55 - 23:39] The Most Predictive Data for Employee Performance

PMML’s usefulness in assessment data

Chris talks about creating and running models

Reliable data designed to be used for serious decisions

Finding hidden traits; Chris’ example

Chris’ advanced statistical modeling test set

[23:53 - 32:36] Coaching; Insights from People Analytics

Chris talks about his experience with training students

Pulling out people’s greatest strengths

The ability to monetize your work

[32:37 - 34:51] Closing Segment

Summarizing our discussion today

Final Words

Tweetable Quotes:

“This [PMML] is a way the industry can standardize concepts, and provide some transparency…” - Chris Kunze

“What gets measured gets managed, if you don’t know what your measurements are you don’t know where you stand or where you can make and track improvements.” - David Turetsky

Connect with Chris on LinkedIn. Visit https://www.kunzeanalytics.com to learn more about his space.

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This show is brought to you by Turetsky Consulting LLC, our company providing business consulting on Analytics, HR Processes, and Rewards with a focus on getting answers that organizations need by demystifying People Analytics.

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