What's Holding Back People Analytics? Discussion with Paul Rubenstein from Visier. E198
Nov 11, 2024
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Paul Rubenstein, Chief Customer Officer at Visier, dives into the complexities of people analytics. He highlights that only around 10% of teams provide strategic business value, largely due to traditional methods focusing on basic HR metrics. The conversation emphasizes the need for HR professionals to enhance their data skills and utilize integrated AI platforms for impactful decision-making. Topics include overcoming skepticism about data reliability and the importance of merging workforce insights with operational metrics to drive better talent and business outcomes.
The evolution of people analytics emphasizes the necessity of aligning talent strategies with business objectives to leverage data effectively.
AI-driven solutions in HR are transforming data management, allowing for proactive analysis and strategic decision-making beyond traditional reporting methods.
Deep dives
The Evolution of People Analytics
People analytics has undergone significant evolution over the past decade, shifting from data collection to meaningful insights that drive better decision-making. The discussion points out the need for aligning talent strategies with business objectives, highlighting the importance of utilizing data to achieve collective outcomes. Organizations often face challenges due to historical paradigms that undervalue mathematical analysis within the HR function, leading to missed opportunities for impactful data usage. This has resulted in HR often lagging in data maturity compared to other business functions, demonstrating the necessity of integrating analytics into everyday operations.
Breaking Down Silos in HR
A major challenge within many organizations is the existence of silos in HR functions, such as recruitment, learning, and compensation, which can prevent comprehensive data analysis. This specialization often leads to compartmentalization, with each unit focused solely on their metrics, thus overlooking the interconnectedness of issues that affect overall productivity and performance. Encouraging a systemic approach within HR helps facilitate the sharing of insights across departments, enabling HR professionals to act as strategic partners in business rather than simply service providers. By reorienting their focus toward broader business goals, HR leaders can harness the power of data analytics to create more cohesive and effective workforce strategies.
The Role of AI in People Analytics
Artificial intelligence is revolutionizing the way HR departments manage and analyze data, offering advanced capabilities that were previously unavailable. AI enhances insights through anomaly detection and inquiry, allowing HR to identify trends and issues that require immediate attention without the long delays associated with traditional reporting. This shift towards a proactive analytical approach empowers HR personnel to communicate effectively with leadership by utilizing reliable data and insights that transcend mere record-keeping. As organizations increasingly adopt AI-driven solutions, the potential for enhanced strategic decision-making within HR is rapidly expanding.
After decades of effort and growth, only around 10% of People Analytics teams deliver strategic business value. Many are still focused on traditional analysis of engagement, retention, leadership pipelines, and other HR measures.
In this WhatWorks podcast I talk openly with Paul Rubenstein, the Chief Customer Officer at Visier, about how this market has evolved. And in the conversation you can learn about Visier and the role of integrated, AI-platforms for the important topic of managing corporate HR and work data.
Our newest research on People Analytics is coming out this month, stay tuned for much more detail on this topic.