People Analytics Deconstructed
Are you responsible for understanding an employees’ experience? Have you tried to incorporate people analytics in your organization but have struggled? Have you ever wondered what it means to have a data culture? Would you like to make more data-driven decisions? These are the kinds of discussions you can expect to hear on People Analytics Deconstructed. Co-hosts Ron Landis and Jennifer Miller are co-founders of Millan Chicago, a data science consulting company dedicated to helping organizations make the most out of their data. Each week, they will ‘deconstruct’ modern and contemporary topics in the People Analytics space.
People Analytics Deconstructed
Measurement Mini Series, Part 1: Understanding How Measures Impact People Analytics
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Millan Chicago
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Season 1
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Episode 9
In the first episode of a special three part mini-series about measurement, co-hosts Ron Landis and Jennifer Miller discuss how measures impact People Analytics.
In this episode, we had conversations around these questions:
- What does it mean to measure employee behavior in an organizational context?
- Why is measurement foundational to People Analytics?
- What is the process to ensuring that measures are good?
- What are some of the challenges that organizations face when assessing employee behavior?
- What are some clear steps that HR professionals can take in the field of People Analytics to ensure that their assessments are effective?
Key Takeaways:
- In the People Analytics field, the term measurement is used to assess or evaluate employee behavior in organizational contexts. While companies have access to large volumes of data, it is important to consider what is actually being measured. Without a strong foundation in measurement, any decision based on the data analytic process may lead to unintended consequences.
- Ron and Jennifer discuss the data analytic process in the context of measurement. First, the topic or area needs to be clearly defined. Second, the data collection process should be articulated including who, what, when and where data will be collected. Third, an analysis of the data should be conducted. Finally, we interpret our results and determine next steps in the analytic process.
- An organizational example related to the measurement of training program impact is presented. How do you measure ROI of training? Jennfier and Ron discuss this example in the context of the data analytic process.
- At the end of the episode, Jennifer and Ron recommend steps for folks just starting out in this space all the way to the more advanced HR professional.
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