All About HR - Ep#2.7 - Data driven HR: What forward looking companies are doing

Drive fact-based people-decisions with our People Analytics Certificate Program 🎓 https://aihr.ac/3r6oKds

Welcome to another exciting episode of All About HR! This is the series for HR Professionals and business leaders who want to future-proof their organization and learn about the latest trends & insights from industry experts, CHROs, and thought leaders. 🚀

How can you use people analytics to drive business success? 🔎 In this episode of All About HR season 2, we talk with Victor Akosile — Podcast Host & Analytics Consultant at Humananalytics Hub — about data-driven HR and building a People Analytics function. 📊

Victor is a People Analytics consultant and the host of Humanalytics, a podcast where he discusses how HR tech is solving problems and making the world a better place. 🌱

In this episode, we’ll discuss:

📍 The most exciting HR tech developments happening right now
📍 How companies are using data-driven HR to succeed
📍 Essential skills for People Analytics teams

0:00 - HR is in an interesting shift right now
0:32 - Introduction
2:55 - HR Tech: What development are your currently most excited about?
5:34 - What does data-driven HR mean to you?
8:41 - What ways do you see forward-looking companies use data-driven HR?
12:37 - Employee lifecycle data collection: 3 reasons why this is on the rise
14:49 - SEC disclosure rules: Companies now must publish human capital metrics
15:32 - What role should leadership play in creating a data-driven culture?
17:52 - Examples of business problems that PA can address
22:12 - Things people get wrong when building a PA function
25:23 - Important skills & mindsets for PA teams
29:12 - The biggest cliché about HR
32:01 - Epic win
33:58 - Epic fail

Watch the full episode to discover how you can help build a data-driven culture and contribute to your organization’s success. 💪

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Create a future-proof C&B strategy 👉 https://aihr.ac/3LHN78X
Master powerful reporting skills 📈 https://aihr.ac/3r0XMny

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