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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

Welcome, Adam and Martha!
Today’s Topic: Automated Assessment of Employe Data Quality using Machine Learning

[6:08 - 15:04] What motivated you to start your project?

“Necessity and curiosity”
Driving the conversation about data quality

[15:05 - 27:42] What did you learn from the process?

Using the best tool for the job
Knowing how to best present your findings to those who haven’t lived through the project

[27:43 - 34:31] How do we realistically start using this new data quality model?

Real world examples of this model being used
Starting with simple checks before using the model

[34:32 - 38:08] Final Thoughts & Closing

Curiosity is key
Thanks for listening!

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

Dr. Adam McKinnon and Martha Curioni - Automated Assessment of Employee Data Quality 38:08 Share

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Shownotes Transcript

Dr. Adam McKinnon and Martha Curioni - Automated Assessment of Employee Data Quality