Data… Managing, Measuring, and… ‘Proving them Wrong!’

Data… Managing, Measuring, and… ‘Proving them Wrong!’

This episode features key insights from my great friend Heidi Wallman Corporate People Systems Director for Canyon Ranch. We talk about how to keep HR data up to date, what data drives business metrics, and how to Prove them WRONG!

I hope you enjoy this episode and I am looking forward to your input and feedback.

To share with us the power and importance of HR Data we have Heidi Wallman with us. Heidi is the Corporate People Systems Director at Canyon Ranch. She specializes in analysis, metrics and reports involving people data to support and continually improve operations of the People Services Department in selecting & retaining a world class workforce in supporting the mission of Canyon Ranch. Her truest passions lie at the heart of HR Analytics, and being able to provide meaningful metrics to colleagues within the company.

Without further ado, why don’t we jump right in and learn how Heidi uses and manages data to… ‘Prove them Wrong.’

December 3, 2020

[00:01 – 02:37] Opening Segment

  • Let’s get to know Heidi Wallman
  • Heidi talks about her interests in HR 

[02:38 – 07:11] Managing 1,400 Employees Across 4 Properties

  • Allowing employees self-service – 94% utilization
  • Heidi’s tips to drive utilization
  •  Taking ownership of the data; Heidi’s experiences 

[07:12 – 11:31] HR Metrics that Drive Business Decisions

  • Heidi talks about knowing your measurements 
  • Getting managers involved in the decision making process 
  • Other metrics that have resonance 

[11:32 – 14:15] How to, “Prove Them Wrong” 

  • Heidi talks about what she means by this phrase 
  • Challenging the perceptions and assumptions with data 
  • Dealing with push back 

[14:16 – 16:48] Closing Segment

  • Summary of our conversation 
  • Thinking of HR as an art and using the data 
  • Final Words

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In this show we cover topics on Analytics, HR Processes, and Rewards with a focus on getting answers that organizations need by demystifying People Analytics.

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