Hey humans! Welcome back to part two of our data literacy series! In this episode, I continue my round table discussion with Jennifer Wright, Karen Brieger, and Kelly Oliver as we dive deeper into the practical aspects of HR data.
We explore the critical importance of "clean data" - what it really means and why it matters so much. Kelly breaks down the three-phase framework of data engineering, data analysis, and data insights, explaining why you can't just jump straight to insights without proper preparation. Jennifer shares a powerful example about how software conversion challenges can create data issues, while Karen emphasizes the importance of basic data accuracy - from employee addresses to departmental coding.
Our conversation also addresses the unique challenges faced by fractional HR leaders who need to quickly adapt to different organizational cultures and data preferences. As Karen explains, some clients want workshops and training while others just want quick data points without the deeper understanding. We discuss how to navigate these different environments while still delivering value.
We also touch on the future of HR data and analytics with cautious optimism about AI's potential to help identify anomalies and patterns. There are still so many organizations still mastering the basics of data literacy.
Enjoy part two of our data conversation!
Stacie
More episodes at StacieBaird.com.
LinkedIn Pages for each of my guests:
