Dr. Adam McKinnon and Martha Curioni - Automated Assessment of Employee Data Quality
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Summary:
Dr. Adam McKinnon is the People Data and Analytics Lead at Reece Group in Australia. Over the course of his career, he’s focused on driving individual, team, and organizational performance through the development and implementation of tailored analytics frameworks and methodologies.
Martha Curioni is the Associate Director of HR at IQVIA in Italy. She leverages her technical skills and expertise to help businesses solve their problems using data analysis.
In this episode, Adam and Martha talk about the data analysis model presented in the article they co-wrote entitled Automated Assessment of Employee Data Quality using Machine Learning.
Chapters:
[0:00 - 6:07] Introduction
[6:08 - 15:04] What motivated you to start your project?
[15:05 - 27:42] What did you learn from the process?
[27:43 - 34:31] How do we realistically start using this new data quality model?
[34:32 - 38:08] Final Thoughts & Closing
Quotes:
“Machine learning is this great opportunity to synthesize this massive complexity and distill it to a form that becomes usable, but [machine learning] also elevates the level of work that our HR colleagues can perform.”
“The model really is meant to catch . . . the combination of variables that make [your data] inaccurate. And so that's where the model comes in—[it’s] able to raise that level of sophistication.”
Resources:
Article: Automated Assessment of Employee Data Quality using Machine Learning
Contact:
Adam's LinkedIn
Martha's LinkedIn
David's LinkedIn
Production by Affogato Media
Podcast Manger: Karissa Harris
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