In this episode, host Michael Bernzweig sits down with Noelle London, founder and CEO of Illoominus, to explore how HR teams can turn scattered people data into AI‑ready intelligence. Noelle explains why most mid‑market organizations rely on IT tickets and manual reports to answer basic workforce questions, and how messy, inconsistent data across dozens of HR systems blocks strategic decisions. She shares practical steps to improve data quality, connect the full employee journey, and use AI for self‑serve insights on tenure, turnover, and internal mobility so leaders can respond to change with confidence.
- 00:00 – Introduction to Noelle London and Illuminus’s mission to unify HR data
- 00:29 – The entrepreneurial journey of Noelle and founding Illuminus
- 01:23 – Challenges of disconnected HR systems and scattered data
- 02:39 – How entrepreneurship taught Noelle about creative problem solving
- 04:10 – The evolution of HR technology and the need for connected data
- 06:07 – Navigating societal and technological shifts impacting the workforce
- 08:02 – Common issues mid-market organizations face with HR data access
- 09:38 – The urgency of data foundation for AI readiness
- 11:20 – How Illuminus unifies employee journey data for strategic insights
- 12:18 – Power of AI in making quick, data-driven workforce decisions
- 13:18 – Enabling self-serve data access for HR teams
- 14:47 – Building a community of shared learnings for HR innovation
- 16:19 – Solving high turnover costs through integrated data analysis
- 17:48 – Encouraging organizations to connect core HR systems first
- 19:22 – Preparing data foundations for AI, analytics, and predictive modeling
- 20:49 – Key practices for normalizing and cleansing HR data
- 23:23 – How to prioritize growth levers for testing without a dedicated data team
- 24:16 – Conducting cost-effective A/B tests with limited traffic
- 26:39 – Moving from scattered data to trusted, action-oriented HR insights
- 28:24 – Using impactful storytelling to build trust with leadership
- 30:12 – Framework for testing new strategies efficiently and effectively
- 31:09 – Tools and resources for creating impactful experiment audits
- 33:29 – Initial steps for unifying data from multiple HR platforms
- 36:42 – Starting with core HR systems before expanding data integrations
- 38:32 – Cadence and documentation best practices for continuous testing
- 41:43 – Making sense of emerging workforce trends through metrics
- 45:17 – Running experiments with low traffic environments
- 48:08 – Final advice: fixing data foundations as a strategic priority for HR modernization
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