In this episode, we dive deep into the challenges and opportunities of HR data governance, exploring how organizations can improve data quality, ownership, and usability in a rapidly evolving AI landscape. Join us for practical insights from seasoned HR analytics experts on building a data-driven culture that supports strategic decision-making.

Key Topics:

Timestamps:

00:00 - Introduction: Why HR data governance matters today

02:30 - Challenges HR faces with data quality and accuracy

06:15 - Why organizations struggle to demonstrate ROI from HR data

09:00 - Cultural and mindset barriers to effective data management

11:00 - The impact of AI and machine learning on HR data quality

12:30 - Context and system integration challenges across HR tech stack

15:11 - Defining HR data governance: Ownership, stewardship, and quality

17:00 - Creating a data glossary and system of record for HR data

19:05 - Real-world examples of poor HR data visibility and audit issues

21:00 - Using chatbots and AI: risks, benefits, and data consistency

24:00 - The importance of documentation and version control in AI applications

27:40 - Practical steps to start your HR data governance journey

30:00 - The significance of aligning metrics and defining owners

33:00 - Building a culture of data excellence and quick wins

36:00 - Addressing expectations for pristine data and managing realities

37:00 - Final recommendations for HR leaders to improve data governance

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