David Green:The best HR & People Analytics articles of November 2024
The centrepiece of this month’s edition of the Data Driven HR Monthly is focused around two topics – Agentic AI and Diversity, Equity and Inclusion. One with a technology focus, the other very much a human topic.
With Gartner predicting that that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI (up from 0% in 2024), the word on everyone’s lips at UNLEASH World in Paris recently was Agentic AI. But what actually is Agentic AI, and what does it mean for HR technology and HR professionals? Some of the content this month explores these topics. It was also good to hear at Unleash, L’Oreal’s CHRO, Jean Claude Le Grand on the main stage saying in very clear terms that “DEI is not a trend. DEI is part of our DNA”. DEI shouldn’t be used as a political football. But with questions being asked about what Trump’s Second Term Could Mean for DEI, it is important to highlight that DEI is also about business performance. I’ve included two articles this month from Quinetta Roberson (on how to link DEI to business outcomes) and Brian Elliott (on why capitulating to DEI sceptics is counterproductive). When it comes to DEI, now is the time to stand up.
This edition of the Data Driven HR Monthly is sponsored by our friends at TechWolf
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November road report
After a heavy travel schedule in September and October, November was a quieter month with my sole trip being to Germany for the final European Peer Meeting of 2024 for member companies of the Insight222 People Analytics Program®, which was hosted by Alexis Saussinan and Ruben Groen at Merck Group’s HQ in Darmstadt. During the two days, we learned about how Alexis and Khadija Ben Hammada, the CHRO, partner to deliver business value at Merck. We also learned from Ruben and Mariana Hebborn PhD on how Merck has established its enterprise data foundations, from Dawn Klinghoffer on how Microsoft has reconfigured its people analytics function in the age of intelligent automation, and Adam Tombor (Wojciechowski) on how Julius Bär democratised data across the company. If you are a people analytics leader interested in joining the People Analytics Program, and attending our 2025 Peer Meetings – including in Paris on January 28 and 29, and New York on March 4 and 5, please get in touch.
Attendees at the Insight222 Peer Meeting for members of the Insight222 People Analytics Program, hosted by Merck, November 19-20, 2024
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Share the love!
Enjoy reading the collection of resources for November and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on October’s compendium.
If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here.
AGENTIC AI AND THE FUTURE OF WORK
JOANNE CHEN AND JAYA GUPTA - A System of Agents brings Service-as-Software to life | McKINSEY - Why agents are the next frontier of generative AI
With Gartner predicting that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024, this is a topic we all need to learn about. Here are two resources that provide some helpful context. (1) A VC view from Joanne Chen and Jaya Gupta, writing for Foundation Capital, which they present as a “$4.6 trillion opportunity as AI transforms software from tool to worker”, with all the inherent implications that has for the workforce (see FIG 1). Thanks to Paul Daley, Gareth Flynn, Nico Orie, and Hung Lee (I recommend following all of these four people) for all highlighting this excellent article. (2) Writing for McKinsey, Lareina Yee, Michael Chui, Roger Roberts, and Stephen Xu, explore the opportunities that the use of gen AI agents presents including how they could work with potential use cases, the value they can bring, and how business leaders should prepare.
FIG 1: A System of Agents (Source: Foundation Capital)
JASON AVERBOOK - How AI Agents are Revolutionizing HR—and How to Get Ready | LARS SCHMIDT - Agents of (Massive) Change: How AI Agents Are Poised to Alter Work | JOSH BERSIN - AI Agents, The New Workforce We’re Not Quite Ready For (Agentic AI) | FELIPE JARA - HR - Let's Prepare for a Big Wave of Multi-Agents AI Systems
For HR, Agentic AI means shifting away from repetitive administrative tasks to focusing on what truly matters: people.
So, what does Agentic AI mean for HR in terms of the HR technology stack, how we deliver services to employees, and HR professionals themselves? Not surprisingly, with all the hype, there is a growing body of resources on these topics. Here are four I recommend to* Data Driven HR Monthly readers: (1) Definitely subscribe to Jason Averbook’s Now of Work Substack. In this blog, he provides five tips for HR to get ready for AI agents including: (i) Upskilling HR teams, (ii) Assessing current processes to identify and prioritise use cases, and (iii) Working on improving data quality. (2) Lars Schmidt’s primer is also highly recommended. It includes a guide to three categories of AI and how they are impacting work: bots, AI agents, and digital workers: “As we weave agentic AI capabilities into our businesses, we will likely deconstruct jobs into individual tasks and then identify the tasks that can be fully automated by these new AI technologies and agents.” (3) Josh Bersin has been all over agentic AI, and has recorded several podcasts on the topic as well as this article, which explains how the “’Large Language Models’ we’ve been learning about for the last two years are now turning into ‘Large Action Models’”, as well as outlining two potential uses cases in L&D and recruiting. As Josh mused in his keynote at Unleash World in Paris, AI is set to dominate the HR Tech stack (see FIG 2). (4) Last but not least, Felipe Jara provides a helpful synopsis of the emerging macro trends in enterprise AI for HR including a summary of the tools that major players like Workday, SAP, ServiceNow and One Model (see FIG 3) are introducing. He also lays out four focus areas of opportunity for HR including guidance on how to prepare your data foundation.
FIG 2: AI dominates the HR Tech stack (Source: Josh Bersin at Unleash World, Paris, October 2024)
FIG 3: The Evolution of Agents and Enterprise AI (Source: One Model – see here)
ANDY SPENCE - The Next Wave of AI: Building Your Own Digital Workforce
This is going to be fundamental change in how we interact with AI. It's moving us from being passive consumers of AI tools to active creators of personalized AI assistants. The great thing is we won’t need to be a machine learning expert or a seasoned programmer to get started.
Finally on the Agentic AI theme this month, a twist as in an edition of his brilliant Workforce Futurist, Andy Spence writes about Agent Engineering, and how individuals (not just companies): “can create and deploy their own army of AI agents for a wide array of personal and professional tasks.” In his article, Andy breaks down what agent engineering is, the rise of personal AI agents, how to get started with agent engineering (including tools and platforms), and how it might reshape work, learning and our daily lives.
FIG 4: Agent engineering framework process (Source: Andy Spence)
MIT AND BCG - Learning to Manage Uncertainty, With AI
Companies that boost their learning capabilities with AI are significantly better equipped to handle uncertainty from technological, regulatory, and talent-related disruptions compared with companies that have limited learning capabilities.
A new study by Sam Ransbotham, David Kiron, Shervin Khodabandeh, Michael Chu, and Leonid Zhukov, Ph.D for MIT Sloan Management Review and BCG finds that companies that combine organisational learning with AI-specific learning, which they define as Augmented Learners, outperform those that apply either approach in isolation or neither (see FIG 5). For example, these Augmented Learner companies are twice as likely to weather talent-related disruptions, demonstrating that they are more resilient to workforce volatility. Thanks to Allison Ryder for highlighting the study.
FIG 5: Learning Capabilities Vary (Source: MIT Sloan Management Review and BCG)
DIVERSITY, EQUITY, INCLUSION, AND BELONGING
QUINETTA ROBERSON - How Integrating DEI Into Strategy Lifts Performance
By explicitly linking DEI goals to business outcomes, companies create a clear vision of how diversity adds value.
In her timely article Quinetta Roberson presents the findings of a study on diversity, equity and inclusion and company financial performance, and highlights the practices for achieving competitive advantage through DEI. These findings include that a bundled practice approach to DEI amplifies the performance effects of individual practices – see example in FIG 6. Quinetta also presents a three-point blueprint for meaningful action to DEI: (1) Strategically align DEI with business goals. (2) Systemically integrate DEI practices. (3) Make evidence-based improvements.
FIG 6: DEI practice bundles (Source: Quinetta Roberson)
BRIAN ELLIOTT - How to Stand Up When It Comes to Diversity, Equity, and Inclusion
The backlash against DEI is out of sync with the opinions held by the most important set of stakeholders: your employees.
In this powerful column for MIT Sloan Management Review, Brian Elliott tackles the growing backlash by some companies in the US on diversity, equity and inclusion. He highlights two dangers of backing away. First, the fact that DEI programs are actually getting more popular with employees, not less, and increasingly view it as a business topic rather than a political one. Second, capitulating on DEI commitments doesn’t settle the issue with employees or customers especially as research by Edelman finds that 76% of employees want companies to recommit not retreat. Elliott also provides guidance on three approaches to having real conversations on this topic, highlighting examples from his experience in leading teams at Google and Slack: (1) Let people voice their concerns about DEI programs. Don’t stifle the conversation or run away. (2) Use the words diversity, equity, and inclusion — not DEI. Explain what the words mean, correct misinformation, and tie them back to business results. (3) Keep in mind that memos don’t create trust; employee engagement does.
PEOPLE ANALYTICS
PHIL WILLBURN - People Analytics Demystified: A Practitioner’s Handbook
Highly effective HR organizations know that every area of the business makes people decisions. The best people analytics teams excel by scaling people insights to all business leaders, ensuring these insights reach those making critical people decisions
Phil Willburn, the Head of People Analytics, and his team recently hosted a Peer Meeting for member companies of the Insight222 People Analytics Program® at Workday’s global headquarters in California. During the two days, Phil and his team presented some of the amazing work they are doing with people analytics in areas such as workforce planning, employee experience and hybrid work. Some of the content they presented is in this insightful e-book, which shines a light on how Workday has scaled people analytics in its own company (see FIG 7), their product-oriented and persona-based approach, and provides details on three case studies including how the team provides insights on flexible work and collaboration.
FIG 7: People analytics and insights at Workday (Source: Phil Willburn, Workday)
COLE NAPPER, JIN YAN, AND BEN ZWEIG - What is happening to people analytics? A 15 Year Trend Part Two | Part Three
Following on from Part One of their study on employment trends in the people analytics field over the last 15 years, which I featured in the September edition of Data Driven HR Monthly, Cole Napper, Jin Yan and Ben Zweig return for a second helping – and a third helping with Kristin Saboe, Ph.D. In Part Two, Cole, Jin and Ben turn their attentions to an analysis of the skills of people analytics professionals and the impact of the field during the last 15 years. The insights they uncover include: (1) While people analytics specialists are more likely to hold a doctoral degree (8.2%) than other HR specialists (1.4%), advanced skills (e.g. SQL, GenAI, Python) haven’t been adopted in the numbers expected. (2) There is a correlation between companies with ‘prestigious’ people analytics teams and companies being rated more highly for employee sentiment (see FIG 8). They also provide three recommendations for the field moving forward: (1) Add real value and break the cycle. (2) Mature the people analytics function. (3) Let’s get back to growth. In Part Three, Kristin takes the lead to shine the lens on how the composition of government people analytics jobs have changed over the last 15 years.
FIG 8: Companies with a prestigious people analytics team are rated higher by employees (Source: Revelio Labs)
ERIC LESSER, ERIC BOKELBERG, AND DEVON JOHNSON - Powering people analytics through HR data: How to strategically integrate data as a product
Data products help analysts better grasp what data is available, where it comes from, how it can be used and how to put it together to gain insights effectively. When a new business question arises, the needed data is often already available in a data product, making it easy to gather the correct information.
Eric Lesser, Eric Bokelberg, and Devon Johnson from Deloitte provide a helpful breakdown on how to implement data products through applying key principles of product management across the data lifecycle, namely: ownership, reuse, quality, cataloguing and security. They outline three steps to get started with data products: (1) Educate HR and IT teams about data products; (2) Focus on impactful use cases (“Instead of creating numerous data products, concentrate on those that effectively address pressing business needs”); (3) Establish a strong governance model.
CHRISTOPHER ROSETT – Reporting, Analytics, Research, Statistics (RARS) | SERENA HUANG - The Future of Work: Human Skills in the Age of AI | GIOVANNA CONSTANT – The 10 Commandments for every People Analytics professional | MITCH MIHANOVIC – People Analytics Lessons | WILLIS JENSEN - An Unusual Application Using Organizational Network Data | A.J. TUFTE – Making Workforce Planning Strategic: Three Vs | BEN TEUSCH – A reflection on six years at Facebook
The true value of people analytics lies in translating insights into actionable strategies and programs that enhance employee engagement and drive business performance.
In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Seven are highlighted in this month’s edition. (1) Christopher Rosett outlines the RARS (Reporting, Analytics, Research, Statistics) model he uses with his analytics teams and customers at Amazon (see FIG 9). (2) Serena H. Huang, Ph.D. presents seven human skills required in the age of AI (see FIG 10). (3) Giovanna Constant presents her ten commandments for people analytics professionals including i) You shall worship data quality, ii) You shall train HR teams in data literacy, iii) You shall not create confusing dashboards. (4) Mitch Mihanovic shares three things he has learned from working in the people analytics field, including: “The true value of people analytics lies in translating insights into actionable strategies and programs that enhance employee engagement and drive business performance.” (5) Willis Jensen walks through a case study of using ONA to support compensation decisions for employees. (6) A.J. Tufte breaks down his Three Vs of Strategic Workforce Planning: i) Value (“what value does the work provide”) ii) eVolution (“how does the work need to change”), and iii) Volume (“how much of the work is needed”). (7) Finally, Meta has made a number of layoffs including from its people analytics team in the last few weeks. One of those impacted is Ben Teusch, who penned a reflection on his six years with the company. Wherever Ben decides to go next will be very fortunate to land such a talented practitioner.
FIG 9: The RARS model (Source: Christopher Rosett)
FIG 10: Seven human skills required in the age of AI (Source: Serena Huang)
THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE
RAVIN JESUTHASAN, MIRIAM DAUCHER, AND ALEX ZEA - The future of human resources: Who will care for the human at work?
As the trusted link between organizations and their employees, HR can lead the charge in creating fulfilling workplaces and helping people thrive in an era of transformative technological change, ensuring that AI serves humanity, not the other way around.
Ravin Jesuthasan, CFA, FRSA, Miriam Daucher, and Alexandra Zea present a new paper from Mercer on the future of human resources in the fifth industrial revolution. They paint a compelling evolution for the function to move beyond being stewards of employment to being stewards of work, and ultimate being stewards of humanity through (1) Ethical use of AI. (2) Safeguarding ESG. (3) Preserving human well-being.
FIG 11: HR’s changing role through the history of industrial revolutions (Source: Mercer)
ASAF JACKOBY - Work, Workforce, and Workplace: The Role of CHROs in Leading Change
As Asaf Jackoby, VP HR for Amdocs, writes, chief human resources officers have a pivotal role to play in transforming the landscape of work, workforce and workplace. His article presents a framework (see FIG 12), and provides detail about each of the three categories and the individual components within it: (1) The Work – AI will transform the way we define work, (2) The Workplace – Creating an inclusive and adaptable environment, and (3) The Workforce – who does the work.
FIG 12: Source – Asaf Jackoby
WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS
BRIAN FISHER, KATE BRAVERY, KATIE JENKINS, AND LAUREN ROBERTSON - Measuring skills in the age of agile work
A helpful primer from the Mercer team of Brian Fisher, Kate Bravery, Katie Jenkins, and Lauren Robertson on three ways to ascertain employee skills (see FIG 13): (1) Inferred skills (“The starting point for skills measurement”), (2) Rated skills (“The employee and manager view of skills proficiency”), and (3) Validated skills (“Approaches for validating behavioural and technical skills”). As the authors highlight:
Although each method of collecting skills data has its respective merits, methods can also be combined to paint a more complete skills picture that strengthens talent decision-making and can better inform business strategy.
FIG 13: Three components of a skills measurement strategy (Source: Mercer)
EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING
MICHAEL ARENA AND AARON CHASAN - Fostering Friendships: The Game Changer in Employee Retention
One study found that an employee’s position in the network can predict turnover with 85% accuracy. This is especially true for friendship networks.
Research consistently finds that those with friends at work are far more likely to stay. Indeed, in their article for HR Exchange Network, Michael Arena and Aaron Chasan share the results of a study with a technology company, which found that there was a 44% drop in turnover rate for those who went from 0 friends to just 1. They also provide guidance on how organisations can create a climate for friendships to blossom: (1) Create opportunities for employees to connect; (2) Actively encourage friendships among colleagues; (3) Evaluate the level of connections in the workplace; (4) Create an environment of belonging.
KENNEDYFITCH – Employee Experience Report 2024: Humanized Growth In A Digital Era
You need data to prove your cause, prove your arguments and prove your impact.
This is a highly impressive report on the current state and long-term vision for employee experience by the team at KennedyFitch including Joan Beets, Frank van den Brink, Sander de Bruijn and Patrick Coolen. Highlights include: (1) Analysis on the current state of EX as it relates to maturity (see FIG 14), tools, skills, team responsibilities, leadership buy-in and main obstacles. (2) Insights into the goals, planned skills/tools development and anticipated challenges for the next 12 months. (3) Exploration of how AI and other factors will transform EX and HR. (4) Case studies from EX trailblazers including Sebastian Knepper (Deutsche Telekom), Vasuki Ranganath (Volvo), Lea Mikus (Celonis), Andreas Mayer (ING), Volker Schrank and Joachim Decock (Mondelez), and Ruth Bielderman (Royal BAM Group). An absolute must-read report for anyone working or interested in employee experience.
FIG 14: EX Maturity Model (Source: KennedyFitch)
DAVE ULRICH AND WENDY ULRICH - What Is the Next Step for Employee Experience? The Why, What, and How of Hope
Hope is an emerging fifth wave of managing mental health challenges that shape employee experience which in turn impacts stakeholder value.
The cost of mental illness and the related consequences is projected to be $6 trillion globally by 2030. As Dave Ulrich and Wendy Ulrich write, in the workplace, mental health often connects to the employee experience, which in turn impacts stakeholder and business outcomes (see FIG 15). The article then identifies hope as a new dimension of the employee experience (see FIG 16), and details six principles of what hope means in an organisational setting, so that organisations with hope: (1) Transform the future, (2) Are based in healthy relationships and conversation, (3) Ensure efficacy, (4) Rely on realistic optimism, (5) Empower people, and; (6) Address personal needs. Finally, Dave and Wendy offer seven skills for leaders to master to turn principles into actions that increase hope. An important and timely article.
FIG 15: Logic of Mental Health, Employee Experience and Stakeholder Value (Source: Dave Ulrich and Wendy Ulrich)
FIG 16: Evolution of Ideas Related to Employee Experience (Source: Dave and Wendy Ulrich)
LEADERSHIP, CULTURE, AND LEARNING
McKINSEY - Go, teams: When teams get healthier, the whole organization benefits
Team effectiveness is less art, more science
A new McKinsey study identifies the elements of team effectiveness that have the most significant impact on team performance: trust, communication, innovative thinking and decision-making. The authors debunk several other myths about how teams operate, and highlight the importance of context and how it determines the behaviours that matter most for a team to function effectively. A framework is presented that categorises teams into three archetypes: cycling, relay and rowing teams, which also highlights the top performance drivers for each (see FIG 17). Finally, the article details four actions for leaders to help their teams succeed: (1) Take a hard look in the mirror. (2) Make sure the changes stick. (3) If you are a team leader, don’t stand in the way of progress. (4) Embed team effectiveness in the organization’s DNA. (Authors: Aaron De Smet, Gemma D'Auria, Liesje Meijknecht, Maitham Albaharna, Anaïs Fifer, and Kimberly Rubenstein, PhD)
FIG 17: Three archetypes of teams (Source: McKinsey)
ALLAN H. CHURCH AND JANINE WACLAWSKI - Humpty Dumpty and the 9-Box: Five Steps to Putting it Back Together Again Using the Science of Leadership Potential
(The 9-box) should be about understanding the consistency between what the organization thinks of its talent (designated potential) and what the data indicates against a validated predictive model (assessed potential).
As Allan Church, Ph.D. and Janine Waclawski outline in their revealing article, while the 9-box model is commonly used talent management tools many companies struggle to use it effectively. Church and Waclawski believe this is because most organisations are doing it wrong, explaining the tendency to fall into “the performance-potential paradox”. They ten outline five steps towards having a best-in-class 9-box: (1) Throw Out Performance Ratings – They Should Be a Gatekeeper, not a Predictor. (2) Keep Your Current Talent Framework and Embrace it – But Re-label it as Designated Potential. (3) Introduce the Science of Leadership Potential – By Using Formal Assessments & Data (see the New 9-box in FIG 18). (4) Don’t Box Yourself In – Determine the Right Size Grid for Your Organization. (5) Use Data to Diagnose the Gaps – Between Designated Potential and Assessed Potential.
FIG 18: Leadership potential for the new 9-box (Source: Allan H. Church and Janine Waclawski)
HR TECH VOICES
Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from November that I recommend readers delve into. In a slight change-up this month, I’ll start with a couple of pieces that analyse the people analytics and wider HR technology market:
DAVE ZIELINSKI - How GenAI is Transforming People Analytics Software – Analysis by David Zielinski for SHRM on how GenAI is democratising the use of people analytics and lowering the barrier to entry, which features insights from Stacia Sherman Garr, Jeremy Shapiro, Lydia Wu, and Sameer Raut.
EKTA LALL MITTAL - The Realities of HR Tech Part 1 | Part 2 - In her column for Transform, Ekta Lall Mittal provides insights and guidance on the HR technology market. In Part 1, she looks at how to get started and ways to connect business and people strategy with technology. In Part 2, Ekta provides guidance on how to conduct a current state analysis of your tech stack.
LISA SIMON - The Ripple Effect of Female Leadership in Data – Lisa K. Simon, Chief Economist at Revelio Labs, highlights some of the main findings from a report on the Career outlook for women in D&A and AI, she co-authored with Asha Saxena and Robert Parr. One of these was that companies with more women in senior executive data roles have higher female representation in data roles across the organisation. The difference is greatest for junior roles (see FIG 18).
FIG 18: The more woman in leadership, the more women overall (Source: Revelio Labs)
VISIER – Embracing the AI Driven Workforce: 5 Workforce Trends for 2025 – It’s that time of year when we start hearing the word ‘trends’ a lot, and Visier Inc. is one of the first out of the traps with their five workforce trends for 2025. It’s an insightful read featuring contributions from the likes of Angela LE MATHON, Jill Larsen, Keith Bigelow, and Dawn Klinghoffer.
FIG 19: The ABCDs of Creating a Future-Proof Agile Workforce (Source: Visier)
DIRK JONKER - Finance and Human Resources: A Strategic Partnership for Business Growth – Crunchr CEO Dirk Jonker explains why and how HR and Finance should work together, and paints a vision where: “Together, HR and finance can unlock a future where employees are seen for what they truly are: a company’s most significant (and measurable) asset.”
FRANCISCO MARIN - The Shift from Authority to Influence: Power Distribution in a Network-First Future of Work – Francisco Marin of Cognitive Talent Solutions continues his excellent series of articles on moving to a network-first approach by analysing the shift of power from authority to influence.
PODCASTS OF THE MONTH
In another month of high-quality podcasts, I’ve selected six gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below):
BROOKE WEDDLE, BRYAN HANCOCK, AND WENDY MILLER - Why being in HR is getting tougher—and how to break through – In a fascinating episode of McKinsey Talks Talent, Brooke Weddle, Bryan Hancock, and Wendy Stratman Miller join host Lucia Rahilly to discuss the dynamics that are making HR tougher than ever—as well as what leaders can do differently to begin turning morale around.
CONNIE NOONAN HADLEY - Make it Safe for Employees to Speak Up – Connie Noonan Hadley guests on Steelcase’s Work Better podcast with host Chris Congdon to discuss why and how managers should encourage employees to speak up about mistakes, ideas, and questions – essentially by creating a psychologically safe work environment.
DANIELLE BUSHEN – Navigating Pay Transparency with People Analytics - Danielle Bushen, Global Head of People Analytics Data Governance and Stewardship at Sanofi, joins David Turetsky on HR Data Labs to explore how people analytics intersects with compensation, how to modernise compensation through data-driven practices, and the importance of pay transparency.
MATTHEW HAMILTON - How To Master People Analytics and Deliver Insights That Actually Work - Matthew Hamilton, VP of People Analytics & HRIS at Protective Life, joins host Christopher Rainey on HR Leaders to discuss the challenge of delivering actionable insights to leaders - the last mile problem - and the importance of storytelling with data.
PAUL RUBENSTEIN AND JOSH BERSIN - What’s Holding Back People Analytics? – Josh Bersin and Paul Rubenstein, Chief Customer Officer at Visier, discuss how the people analytics market has evolved, and why only around 10% of People Analytics teams deliver strategic business value.
VIDEO OF THE MONTH
LEENA NAIR – View From the Top
Leena Nair is that rarity of a chief people officer that rises to the role of CEO having transitioned from CHRO at Unilever to CEO at Chanel in January 2022. In this interview with Ayesha Kamik as part of Stanford’s View From the Top series, Leena shares her inspiring journey with insights from her life and career, including her time in human resources, how to build company culture, her leadership principles, how to break barriers and her thoughts on AI and the future of work.
BOOK OF THE MONTH
RUSSELL KLOSK – Talent Prophecy: Creating Strategic Impact Through Workforce Planning and Talent Strategy
In Talent Prophecy, Russell Klosk (智能虎) provides a comprehensive guide to workforce planning, which should have particular resonance for HR professionals involved in workforce planning activities. The book provides readers with practical and accessible tools to: (1) Analyse your current workforce capabilities. (2) Predict future talent needs across various business scenarios. (3) Create adaptive strategies for talent acquisition and development. (4) Leverage AI and emerging technologies. (5) Build stakeholder support for talent initiatives.
RESEARCH REPORT OF THE MONTH
ZHEYUAN (KEVIN) CUI, MERT DEMIRER, SONIA JAFFE, LEON MUSOLFF, SIDA PENG, AND TOBIAS SALZ - The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers
This paper explains the findings from a study to evaluate the impact of generative AI on software developer productivity through analysing data from three trials conducted at Microsoft, Accenture, and an anonymous Fortune 100 electronics manufacturing company. The researchers ( Kevin Zheyuan Cui, Mert Demirer, Sonia Jaffe, Leon Musolff, Sida Peng, and Tobias Salz) found that introducing a generative AI tool to software developers did increase productivity, with less-experienced developers showing higher adoption rates and greater productivity gains. You can also read this summary of the paper by Dylan Walsh: How generative AI affects highly skilled workers.
FROM MY DESK
November saw the final two episodes of Series 42 of the Digital HR Leaders podcast, sponsored by Workday (thanks to Sophie Barnes and Jennifer Neumann), an article rounding up the key learnings from series 42, and the first two episodes of Series 43, sponsored by TechWolf (thanks Maaike Standaert, Mikaël Wornoo?, Andreas De Neve ?).
ANISH LALCHANDANI - The Four Reskilling Principles Every HR Leader Should Know - Anish Lalchandani, Global Head of Talent Management at Maersk, joins me to discuss insights from his book, The Skills Advantage, including why reskilling should be a key component of talent management strategy, the four cornerstones of reskilling, and key metrics to tie reskilling efforts to business value.
LARA WAINWRIGHT AND DUNCAN REYNELL - How Digital Transformation Fuels Skills and EX at Lloyds Banking Group - Lara Wainwright, Product Owner and Lab Lead, and Duncan Reynell, Group Talent & Development Director, join me to share how digital transformation is driving Lloyds Banking Group’s shift to a skills-based organisation.
SANDRA LOUGHLIN - Building a Skills-Based Organisation: Lessons from a 30-Year Journey – Sandra Loughlin, PhD, Chief Learning Scientist, discusses the lessons EPAM Systems has learned over its 30-year skills journey and how organisations can apply these insights to their own skills transformations.
KEITH SONDERLING – Responsible AI in HR: The Ethical Roadmap for Success – For four years, Keith Sonderling was the Commissioner at the United States Equal Employment Opportunity Commission (EEOC). During this time, Keith openly engaged with the HR tech and people analytics community on AI in HR. In this episode, recorded just before Keith’s term ended, we reflect on what AI in HR means for organisations and technology firms, as well as have a broader discussion on discrimination in the workplace.
DAVID GREEN - How can organisations use workforce data to drive culture, inclusion and engagement? - A round-up of the key discussions and learning from series 42 of the Digital HR Leaders podcast featuring: Michael Fraccaro, Michael Arena, Jason Scheckner, Anish Lalchandani, Lara Wainwright and Duncan Reynell.
SIGN UP TO PARTICIPATE IN THE PEOPLE ANALYTICS NETWORK CENSUS
This is a great initiative by Andrew Pitts, Richard Rosenow, Matthew Diabes, PhD, and Stephanie Murphy, Ph.D. Together they have launched the People Analytics Network Census (PANC), which aims to map and understand the global people analytics network, tracking connections across professionals in our field through a single active organisational network analysis. You can find out more about the initiative and sign up to PANC here.
LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH?
I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 475 roles, and has now been developed into a LinkedIn newsletter too – you can read the latest edition here.
THANK YOU
Richard Rosenow for including the Digital HR Leaders podcast episodes with Craig Starbuck, PhD and Rob Briner on his Election Day Playlist
Veronika Birkheim for including me on her list of experts on LinkedIn to read, listen and follow
Thomas Kohler for including the Digital HR Leaders podcast episode with Anish Lalchandani in his excellent list of HR resources
Nick Broughton for including me on his list of top 40 voices in the remote work industry.
Wolfgang Brickwedde for including me in his article on the Recruiting Tech Highlights of Unleash 2024
OpenHR UK for including the Digital HR Leaders podcast as one of four must-listen to podcasts, along with podcasts by Matt Alder Ben Geoghegan and Lucinda Carney ?
Finally, a huge thank you to the following people who either shared the October edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Scott Rogers Tobias W. Goers ツ Jordan Hartley David McLean Jaqueline Oliveira-Cella Tim Sharp Delia Majarín Andreea Lungulescu Dart Lindsley Sharna Wiblen Amardeep Singh, MBA Selina Yankson Olivier Vidal Lukasz Sowinski Lenka Máchová Nick Lynn Russ Fatum BS, BS, MSA, MBB, PMP Tanguy Dulac Aurélie Crégut Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Stephanie Denino Ian Grant FCIPD Purvi Vasani Lewis Garrad Rafael Senise David Simmonds FCIPD William Thai, Ph.D. Olivia Li Md Shahid Ullah Bhuyan Facundo Tomás García Bob Pulver Corine Boon Alessandro Cosentino Jose Luis Chavez Vasquez Kalifa Oliver, Ph.D. Samir Murgude , SPHR®, SHRM-SCP, IHRP-SP Jayashree Shivkumar Dr. Jeeta Sarkar Abbie Gnewuch Zachary Schurmann ?️? Aurangzeb Soharwardi CDIS. CHRP. SAP HCM Aravind Warrier Catriona Lindsay Luis Maria Cravino Kerron Ramganesh Ralf Buechsenschuss David Hodges Ouarda Guergour Marijana Brasiello, MHRM Malgorzata Langlois Amit Mohindra Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Lore Muraina, PMP, PMI-ACP, CPP Alan Susi Yuyan Sun Sven Hultin Greg Pryor Kathleen Kruse Jaap Veldkamp Aleksandra Borisova, RODP Hrvoje Bulat Jaejin Lee Wayne Tarken Caitie Jacobson Nathalie Kumbrink, PHR®, SAFe® APM Melissa Arronte Nicole Lettich Nils Bunde Mia Norgren Shane Walsh Irina Villacreces, M.S., SPHR, PMP Jaana Saramies ? Stacy Davies Ruben Santos Justin Shemeley Richie Citta Erin Gerbec, Ph.D. Mircea-Stefan Glavici Bri Klein Indre Radzeviciute Alex Paton Ramesh Karpagavinayagam Megan Cox (née Phelps) Natasha Ouslis, PhD Tina Peeters, PhD Joseph Frank, PhD CCP GWCCM Lucie Vottova John Fisher Whitney Giga, PHR, SWP Graham Tollit Dave Millner Nicole Davis Barry Swales Dr. Sebastian Projahn David Littlechild Tatu Westling Philipp Heller Blaine Ames Shujaat Ahmad Irene Wong Greg Newman Adam McKinnon, PhD. Kanwal Safdar Irada Sadykhova Hanadi El Sayyed Tanya Arrowsmith Nabil Dewsi Henrik Håkansson Lina Makneviciute Alejandro Giordanelli Andras Szabo Radka Krempova David van Lochem Andreas Maroulis Ohad Geron Placid Jover Sydney Dolanch Isabel Naidoo Rob Kok Kimberly Rose Nick Hayter Annia Balcazar Cabana Anna A. Tavis, PhD Claire Masson Agnes Garaba Sebastian Kolberg Sabine Bothe Sophia Huang, Ed.D. Mariami Lolashvili Philip Arkcoll Erik Otteson Alexandra Nawrat Kristina Schoemmel Craig Starbuck, PhD Maria Alice Jovinski Toon van der Veer Petra Noble Julia Brandon, PhD Aritra Majumdar Scott Nemeth Shannon Rutledge Gal Mozes, PhD Ken Clar Kelly Monahan, Ph.D. Jacob Nielsen Olimpiusz Papiez Nick Hudgell Sonia Mooney Marcela Mury Christopher Cerasoli Dr. Peter Schulz-Rittich Ludek Stehlik, Ph.D. Craig Forman Kelly Satterfield Perri Ma Anna Gullstrand Victoria Holdsworth Joanna Bloor Pietro Mazzoleni Andrés García Ayala Kristhy Bartels Tim Peffers John Golden, Ph.D. Nicole Hazard Søren Kold Kirsten Edwards Doug Shagam Geetanjali Gamel John Gunawan Jack Liu
UNLOCK THE POTENTIAL OF YOUR PEOPLE ANALYTICS FUNCTION THROUGH THE INSIGHT222 PEOPLE ANALYTICS PROGRAM
At Insight222, our mission is to make organisations better by putting people analytics at the centre of business and upskilling the HR profession The Insight222 People Analytics Program® is your gateway to a world of knowledge, networking, and growth. Developed exclusively for people analytics leaders and their teams, the program equips you with the frameworks, guidance, learnings, and connections you need to create greater impact.
As the landscape of people analytics becomes increasingly complex, with data, technology, and ethical considerations at the forefront, our program brings together over one hundred organisations to collectively address these shared challenges.
Insight222 Peer Meetings, like this event in London, are a core component of the Insight222 People Analytics Program®. They allow participants to learn, network and co-create solutions together with the purpose of ultimately growing the business value that people analytics can deliver to their organisations. If you would like to learn more, contact us today.
ABOUT THE AUTHOR
David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 100 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021.
MEET ME AT THESE EVENTS
I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024 and early 2025:
December 5 - Visier Outsmart Local - Building Your People Data Strategy, London
December 10-12 - Workday Rising EMEA, Amsterdam
January 23 - The Strategic Outlook for People Analytics in 2025 with Ian Cook and Dawn Klinghoffer (WEBINAR - Register here)
February 26-27 - People Analytics World, Zürich
April 29-30 - People Analytics World, London
More events will be added as they are confirmed.
原文来自：https://www.linkedin.com/pulse/best-hr-people-analytics-articles-november-2024-david-green--aofje/
TechWolf
2024年12月01日
TechWolf
David Green：The best HR & People Analytics articles of June 2024
David Green整理了最近的HR和PA的文章，其实最近也不仅仅是这方面的内容了，推荐大家可以了解看看，文章谈到了一些内容可以简单了解下：
Justin Taylor, Keith Sonderling, Guru Sethupathy的演讲
总结: 讨论了人员分析生态系统的最新进展和未来趋势。
Insight222研究报告《构建人员分析生态系统：运营模式v2.0》预览
总结: 探讨了如何构建和优化人员分析的运营模式。
TechWolf完成4275万美元B轮融资
总结: 该融资将进一步推动其在AI和人员分析领域的发展。
Mercer和MIT发布的《技能策略指南》
总结: 解释了为什么技能应成为重新思考工作的首要任务，以及如何在AI时代克服挑战。
关于混合工作模式对员工保留和生产力的影响研究
总结: 混合工作提高了员工满意度并减少了离职率。
组织网络分析（ONA）的应用
总结: ONA能够揭示传统组织图中缺失的协作和决策影响，有助于优化工作场所策略。
Insight222的网络研讨会《HR和人员分析中的AI应用》
总结: 探讨了AI在HR和人员分析中的应用及其影响。
McKinsey关于生成式AI的研究
总结: 生成式AI的采用激增，为组织带来了可衡量的业务价值。
Mark Mortensen和Amy Edmondson关于重新定义办公室返工对话的文章
总结: 提供了领导者如何通过重新定义对话来平衡面临面的工作和灵活工作的策略。
Rashleen Kaur Arora关于制定平衡组织和员工需求的返工策略的文章
总结: 提供了如何通过证据和员工反馈制定有效的返工策略的案例。
Pietro Mazzoleni关于HR中生成式AI的应用
总结: 讨论了根据数据成熟度做出明智选择的重要性。
Greg Newman关于AI聊天机器人的员工旅程
总结: 阐述了如何通过使用员工旅程语言来最大化数字工人的价值。
Martijn Wiertz关于生成式AI重新定义工作设计的文章
总结: 提出了一个愿景，即生成式AI帮助我们重新定义工作设计，创造更多时间用于重要任务。
Max Blumberg关于AI时代的人员分析职业的文章
总结: 探讨了在AI时代保持相关性的技能需求及其透明性。
Scott Latham和Beth Humberd关于自动化对工作的四种影响的文章
总结: 讨论了基于价值类型和交付方式的工作响应自动化的四种方式。
Deloitte团队关于组织网络分析（ONA）的文章
总结: 讨论了ONA在测量员工绩效和优化工作场所策略中的应用。
Dave Hodges关于基于研究的HR决策的文章
总结: 强调了基于证据的HR决策的重要性。
Henrik Håkansson关于人员分析中的“错失恐惧症”的文章
总结: 将“错失恐惧症”概念应用于人员分析领域。
Amit Mohindra关于“72法则”的文章
总结: 提供了一个解释增长率的关键参数的简单方法。
Louise Baird关于机器学习及其在人员分析中的应用
总结: 解释了监督学习和非监督学习在人员分析中的应用。
Martha Curioni关于将可解释的AI引入HR流程的文章
总结: 提供了在招聘、预测离职和评估晋升准备度等HR流程中应用可解释AI的例子。
Nick Jesteadt和Erin Fleming关于人员分析领域前沿问题的文章
总结: 强调了生产力、技能和产品化等人员分析中的常见主题。
Christopher Rosett关于人员分析立方体的文章
总结: 介绍了人员分析立方体的概念及其应用。
Willis Jensen关于寻找人员分析工作的文章
总结: 分享了关于如何成功过渡到新角色的见解和策略。
Gregory Vial, Julien Crowe和Patrick Mesana关于高级分析中的数据隐私风险管理的文章
总结: 介绍了五种数据隐私保护方法及其对数据可用性的影响。
Cathy O’Neil, Jake Appel和Sam Tyner-Monroe关于算法风险审计的文章
总结: 提供了帮助组织评估其AI工具和算法的简单框架。
Öykü Işık, Amit Joshi和Lazaros Goutas关于生成式AI风险管理的文章
总结: 提供了管理四种生成式AI风险的蓝图。
Josh Bersin关于首席人力官（CHRO）角色演变的文章
总结: 强调了CHRO在C-suite中的重要性及其角色的多学科性。
Jeanne Meister关于未来HR工作角色的文章
总结: 介绍了未来十年HR领域的十三个新兴工作角色。
Naomi Verghese关于HR技能提升的文章
总结: 分享了HR专业人员在数据咨询和沟通方面所需的关键技能。
MIT和Mercer关于技能驱动型组织的报告
总结: 探讨了在AI时代，技能驱动型组织的重要性及其益处。
Business Roundtable关于基于技能的内部流动白皮书
总结: 提供了推动技能验证和连接人员与机会的战略。
Microsoft关于混合工作环境中新员工入职的研究
总结: 强调了角色职责、反馈和资源对新员工成功的重要性。
Dave Ulrich关于绩效管理的文章
总结: 提出了一个四步流程来改善绩效管理系统。
Erin Meyer关于构建有效企业文化的文章
总结: 提供了六条指导原则，帮助管理者应对文化建设的挑战。
Rob Cross和Katheryn Brekken关于团队网络效应的研究
总结: 发现80%的团队未能达到其生产力潜力，并提供了提高团队绩效的六种策略。
Shujaat Ahmad关于AI对生产力和繁荣的影响的文章
总结: 提倡从生产力优先转向繁荣优先的AI模型，以促进公平和可持续发展。
BCG关于女性技术领导者在生成式AI中的领先地位的研究
总结: 发现高级女性技术领导者在生成式AI的采用方面领先于男性同行。
Richard Rosenow关于人员分析新兴趋势的文章
总结: 分享了人员分析领域的六大新兴趋势。
Alicia Roach关于战略性劳动力规划的文章
总结: 讨论了战略性劳动力规划在业务成功中的重要性。
Annie Dean关于团队状态的报告
总结: 发现使用AI的团队在协作方面表现更好。
Shay David关于HR技术从自动化到增强的演变的文章
总结: 解释了HR技术如何增强人类能力和丰富员工体验。
I’m putting the finishing touches to June’s Data Driven HR Monthly in the airport lounge at Minneapolis-St Paul after a successful peer meeting for more than 50 North American members of the Insight222 People Analytics Program. The two-day peer meeting featured speakers including: Justin Taylor Keith Sonderling Guru Sethupathy and a collaboration between Bennet Voorhees and Eunice Ok. We also previewed the soon-to-be-published Insight222 research study: Building the People Analytics Ecosystem: Operating Model v 2.0 (click on the link to register to receive a copy).
Other highlights in June included:
We also ran a peer meeting for European members of the Insight222 People Analytics Program, which was hosted by Nestlé and featured sessions run by Nataliya Filonenko Michael Cox Alex Browne Thomas Tchako Nowe Piyush Mathur Jack Liu and Martin Janhuba.
We delivered an Insight222 webinar on AI in HR and People Analytics, which featured Andrew Elston Justin Shemeley and Jasdeep Kareer, PhD (née Bhambra). Watch the recording here.
In the HR Tech space, TechWolf announced a new $42.75m round of Series B funding. Congrats to Andreas De Neve ? Mikaël Wornoo? Jeroen Van Hautte ? and the team.
Welcome to the more than 2000 new subscribers to the Data Driven HR Monthly newsletter, who joined in the last month.
This edition of the Data Driven HR Monthly is sponsored by our friends at Mercer
Strategic Shift: Skills-Powered Organizations in the Age of AI
Forty-four percent of workers’ skills will be disrupted by technology in the next five years.*
To thrive through this disruption, businesses must adapt their operating models to perpetually reinvent themselves as demand for skills ebbs and flows with greater velocity and volatility.
The next-generation organization will be at the forefront of this strategic shift toward making skills the currency of work, cultivating a culture of talent sharing, automating work to take mundane tasks off employees’ hands, augmenting human creativity with AI, and reshaping the entire talent life cycle.
Find out how to make the shift to a skills-powered organization
The new Skills Strategy Guide from Mercer and MIT SMR Connections explores:
Why skills should be a top priority in rethinking work in the age of AI
The obstacles that stand in the way
Practical steps to overcome challenges and reap the rewards
Learnings from Standard Chartered Bank’s skills journey
How to build a skills-powered approach to work
Read the Strategy Guide
*Source: The World Economic Forum’s 2023 Future of Jobs report
To sponsor an edition of the Data Driven HR Monthly, and share your brand with close to 130,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org.
Heartfelt thanks to Richard Rosenow
It’s ten years since I published the first edition of the Data Driven HR Monthly (which featured pioneers like Luk Smeyers Andrew Marritt Ian OKeefe Jonathan Ferrar and Greta Roberts). Unbeknown to me, Richard Rosenow organised a wonderful surprise – see here. It’s such a kind gesture - thank you Richard and the One Model team for creating this and the 100 people - friends, colleagues, clients, and peers - many of whom have inspired me in my journey in the wonderful world of people analytics. Thank you too to my colleagues at Insight222 - and everyone who has contributed to the Data Driven HR Monthly over the last decade.
Share the love!
Enjoy reading the collection of resources for June and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on May’s compendium (see Thank You section at the end of this issue).
If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here.
HYBRID, GENERATIVE AI AND THE FUTURE OF WORK
MCKINSEY - The state of AI in early 2024: Gen AI adoption spikes and starts to generate value
If 2023 was the year the world discovered generative AI, 2024 is the year organizations truly began using—and deriving business value from—this new technology.
New research from McKinsey highlights that adoption of AI – and GenAI – has surged in the last 12 months, that organisations are reporting measurable benefits, that there is increased mitigation of the risk of inaccuracy, and that there are a small group of high-performers leading the way. From a HR perspective, the study finds: (1) 12% of respondents are regularly using GenAI in HR. (2) Organisations most often see meaningful cost reductions from GenAI use in HR (see FIG 1). (3) HR functions are most often able to put their GenAI capabilities to use within one to four months. (4) Talent is one of six areas of best practice where high-performers are leading with GenAI (see FIG 2). (Authors: Alex Singla Alexander Sukharevsky Lareina Yee and Michael Chui with Bryce Hall)
FIG 1: Organizations most often see meaningful cost reductions from generative AI use in HR and revenue increases in supply chain management (Source: McKinsey)
FIG 2: Organizations seeing the largest returns from generative AI are more likely than others to follow a range of best practices (Source: McKinsey)
MARK MORTENSEN AND AMY EDMONDSON - Leaders Need to Reframe the Return-to-Office Conversation
Framing refers to how an issue is presented; it’s the meaning layered onto an issue or situation that shapes how people think about its objective facts. More precisely, it’s about re-framing: deliberately replacing taken-for-granted cognitive frames with more helpful ones.
Mark Mortensen and Amy Edmondson discuss the concept of ‘framing’ and its role for leaders in engaging in dialogue with employees about the balance between in-person and flexible working. They offer a three-step process to communicate flexible work policies: (1) Acknowledge the bind and be patient. (2) Focus on mutual value, not just organisational benefits. (3) Approach the process as data-driven, co-created, iterative learning. For more on this topic, listen to Mark in conversation with me on the Digital HR Leaders podcast: How to Foster Collaboration Within Hybrid Working Teams.
RASHLEEN ARORA - Design a Return-to-Office Strategy That Balances Organizational and Employee Needs
It’s becoming increasingly evident that rigid return-to-office (RTO) mandates can backfire by antagonising employees and impacting retention. Rashleen Kaur Arora presents Gartner research that outlines how HR leaders can craft a RTO strategy that balances organisational objectives with employee buy-in. The article includes a powerful case study on how Scotiabank implemented an evidence-based hybrid RTO model (see FIG 3).
FIG 3: Scotiabank’s role aligned hybrid personas (Source: Gartner)
PIETRO MAZZOLENI - Generative AI in HR: making smart choices depending on your data maturity | GREG NEWMAN - What's the employee journey of an AI chatbot? | MARTIJN WIERTZ - How will we use GenAI to redefine our Work Design: Creating Great Places to Be | MAX BLUMBERG - Saving your People Analytics Career in the Face of AI | SCOTT LATHAM AND BETH HUMBERD - Four Ways Jobs Will Respond to Automation
Organizations which provide an environment where the needs of the workforce are aligned with the outlines of the future will have the competitive advantage.
June saw a plethora of insightful reads about the impact of AI on HR and people analytics, so I’ve gathered five together here along with a prescient piece from 2018 on the professions most susceptible to automation. (1) Pietro Mazzoleni examines the importance of data maturity when it comes to the successful adoption of GenAI solutions in HR. (2) Greg Newman outlines why using the language of the employee journey will help your organisation maximise the value you gain from digital workers. (3) Martijn Wiertz presents a compelling vision where GenAI helps redefine our work design, creating time we can utilise for doing the work, care and training we need as a community – from great places to work to great places to be (see FIG 4). (4) Max Blumberg (JA) ?? explores how people analytics roles may evolve in the age of AI, the skills needed to remain relevant, and the importance of transparency in these issues within the people analytics community. (5) Finally, and thanks to Hung Lee for featuring it in a recent edition of Recruiting Brainfood, let’s revisit an article by Scott Latham and Beth Humberd that outlines four ways in which jobs will respond to automation based on two factors: the type of value provided and how it’s delivered (see FIG 5).
FIG 4: Source – Martijn Wiertz
FIG 5: Which Professions Are Most Vulnerable to Automation? (Source: Latham and Humberd)
PEOPLE ANALYTICS
MAYA BODAN, DON MILLER, SUE CANTRELL, GARY PARILLIS, AND CARISSA KILGOUR - Harnessing organization network analysis (ONA): Measure workforce performance and optimize strategies
ONA reveals insights absent in traditional organizational charts—such as how people collaborate, who influences decision-making and/or operates in silos, and sentiments surrounding trust and influence.
A helpful primer on how to use Organisational Network Analysis (ONA) from the Deloitte team of Maya Bodan Don Miller Susan Cantrell Gary Parilis and Carissa Kilgour. Their article discusses the myriad of use cases ONA can be used for, including to: (1) Measure workforce performance, (2) Understand individual workforce performance, and (3) Optimise workplace strategies.
FIG 6: ONA can help uncover collaboration within an organisation (Source: Deloitte)
DAVE HODGES - Facts Over Fads: HR Decisions Grounded in Research |HENRIK HÅKANSSON - People Analytics: The fear of missing out | AMIT MOHINDRA - The "Rule of 72": A Gentle Reminder | LOUISE BAIRD - Machine Learning and its Applications in People Analytics | MARTHA CURIONI - Building Explainable AI Into HR Processes | NICK JESTEADT AND ERIN FLEMING - People Analytics Frontiers aka Why are We Asking the Same Questions Again? | CHRISTOPHER ROSETT - The People Analytics Cube
If you’re not practising evidence-based HR, what type of HR are you practising?
In recent editions of the Data Driven HR Monthly, I’ve featured a collection of articles by people analytics leaders. These act as a spur and inspiration to the field. Seven are highlighted here. (1) David Hodges takes inspiration from Rob Briner’s research to make the case for evidence-based HR. As Dave asks: “If you’re not practising evidence-based HR, what type of HR are you practising?” (see FIG 7). (2) Henrik Håkansson applies the popular concept of “fear of missing out” to people analytics in his astute article. (3) Amit Mohindra provides a handy explanation of the ‘Rule of 72”, which can be used to extract a key parameter from a growth rate. (4) Louise Baird breaks down the two different types of machine learning – supervised and unsupervised – and how it can be applied to people analytics. (5) Martha Curioni provides examples of building explainable AI into a range of HR processes including: hiring, predicting attrition, and assessing promotion readiness. (6) Based on their survey of people analytics practitioners, Nick Jesteadt and Erin Fleming highlight three common yet seemingly elusive themes in the field: productivity, skills and productisation. (7) Christopher Rosett breaks down the People Analytics Cube (see FIG 8) in his LinkedIn post with a nod to Alexis Fink.
FIG 7: What is being used in HR instead of evidence? (Source: Evidence Based HR: A New Paradigm by Rob Briner, Corporate Research Forum)
FIG 8: People Analytics Cube (Source: Christopher Rosett)
WILLIS JENSEN - Finding a People Analytics Job
One of the features of the people analytics field is that it is pretty fluid with many that work within it moving roles in the last 12-18 months – as evidenced by the invaluable People Analytics Job Board that Richard Rosenow oversees. In his article, Willis Jensen shares insights from his recent transition to a new role including: (1) Being very clear about what you want in your next job. (2) Don’t write an AI-generated cover letter. (3) Use a resume tool to help you tailor your resume for each job. (4) Do not use a shotgun approach of applying for hundreds of jobs. (5) Use LinkedIn as a job-hunting tool. For more on people analytics careers, listen to Serena H. Huang, Ph.D. in discussion with me on the Digital HR Leaders podcast: How to Enhance Your Career in People Analytics.
ETHICS AND PRIVACY SPECIAL
GREGORY VIAL, JULIEN CROWE, AND PATRICK MESANA - Managing Data Privacy Risk in Advanced Analytics | CATHY O’NEIL, JAKE APPEL AND SAM TYNER-MONROE - Auditing Algorithmic Risk | ÖYKÜ ISIK, AMIT JOSHI, AND LAZAROS GOUTAS - 4 Types of Gen AI Risk and How to Mitigate Them
Three articles covering ethics, risk and privacy with regards to advanced analytics and AI, which should be invaluable to people analytics professionals and HR technologists alike. (1) Gregory Vial Julien Crowe and Patrick Mesana present five approaches to measuring data privacy and how each approach impacts on data usability (see FIG 9) before discussing mitigation strategies. (2) Cathy O’Neil Jacob Appel and Sam Tyner-Monroe, Ph.D. lay out a set of simple frameworks (see example in FIG 10) designed to help organisations evaluate that their AI tools and algorithms are fair and working as intended. (3) Öykü Işık Amit Joshi and Lazaros Goutas outline a blueprint for managing four types of generative AI risk (see FIG 11).
FIG 9: Five Approaches to Preserving Data Privacy (Source: Vial, Crowe and Mesana)
FIG 10: A Simplified Ethical Matrix (Source: O’Neil, Appel, and Tyner-Monroe)
FIG 11: Four types of AI risk (Source: Isik, Joshi, and Goutas)
THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE
JOSH BERSIN - The Ever Expanding Role Of The Chief HR Officer (CHRO)
The CHRO must transform the HR team, moving from the “service delivery” model to an HR team of consultants, problem-solvers, and analysts.
Josh Bersin lays out a compelling case for the CHRO being the most important role of all in the c-suite now. He highlights factors such as the abundance of people challenges, labour shortages, organisation redesign, and globalisation. Josh also introduces his initial findings from a study of 47,000 CHROs: (1) There is a major increase in the C-level importance of the CHRO. (2) The CHRO job is multi-disciplinary, and more difficult than it looks. (3) The CHRO role is expanding. (4) Strong CHROs are now transforming the HR function. (5) The HR function is not developing itself - 80% of high-performing CHROs are external hires.
FIG 12: The two roles of the CHRO (Source: Josh Bersin)
JEANNE MEISTER – 13 HR jobs of the future
In HR, this is our Promethean moment as we navigate a complex future, one with limitless possibilities in how we work, where we work, who we work with and what we expect in our workplace.
Based on her conversations with HR leaders, Jeanne C M. presents 13 HR jobs of the future, which will emerge between now and 2030 (see FIG 13). Jeanne then explains how each of these roles “embody five core workplace themes enabling leaders to embrace reinvention as a strategy where humans and machines collaborate to deliver in which to the organization.” The five themes are: (1) Building GenAI literacy, (2) Working from anywhere, (3) Building human-machine partnerships, (4) Driving innovation and wellbeing in the workplace, (5) Creating a personalised employee experience.
FIG 13: 13 HR Jobs of the Future (Source: Jeanne Meister)
NAOMI VERGHESE - Investing in the Right Approach to Upskilling HR
When the CHRO and HRLT role-model the use of people data and analytics in their day-to-day job, then other HR professionals also use people data and analytics in their work.
Naomi Verghese shares the key findings from research she led at Insight222 to identify the key skills HR professionals need to consult and communicate effectively with data. The study, Upskilling the HR Profession: Building Data Literacy at Scale, identified five essential skills for HR professionals: (1) Consulting, (2) Influencing Stakeholders, (3) Data Interpretation, (4) Building Recommendations from Insights, (5) Storytelling. The study also identified the importance of role-modelling by the CHRO and HR leadership team with regards to data literacy (see FIG 14, and above quote).
FIG 14: (Source: Insight222, Upskilling the HR Profession: Building Data Literacy at Scale)
WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS
MIT SMR CONNECTIONS AND MERCER - Strategic Shift: Skills-Powered Organizations in the Age of AI
By making skills the backbone of their talent practices, organizations can better allocate people to projects, help employees explore different career paths, and gain the flexibility to allocate their capital more effectively as their needs change.
In their collaborative study, MIT and Mercer break down why skills should be a priority in rethinking work and people management in the age of AI. The report highlights the benefits for employees and employers of a skills-based approach (see FIG 15), provides practical guidance on how to overcome challenges, and provides powerful learnings from Standard Chartered’s skills journey. Features contributions from experts including Peter Cappelli Tanuj Kapilashrami Ravin Jesuthasan, CFA, FRSA Brad Bell Joseph Fuller Tom Kochan and Audrey Mickahail.
FIG 15: Benefits of a skills-powered approach (Source: MIT and Mercer)
LINKEDIN LIVE: Skills-Powered Organizations in the Age of AI | JULY 24, 2024
Register to join Tanuj Kapilashrami, Ravin Jesuthasan and David Green for a LinkedIn Live discussion on Skills-Powered Organizations in the Age of AI on July 24 at 10.00am EST.
BUSINESS ROUNDTABLE - Skills-Based Internal Mobility Playbook Summary | White Paper
Skills are five times more predictive of a person’s future performance than their education
An excellent playbook compiled by the Business Roundtable on skills-based internal mobility, which is organised into five chapters covering critical areas such as stakeholder engagement, skills assessment and validation (see FIG 16), how to connect people with opportunities, how to measure success, and enabling technologies. Features examples from a myriad of companies including: Walmart, Chevron, Workday and Vistra. Thanks to Brian Heger for highlighting this resource in his excellent weekly Talent Edge newsletter.
FIG 16: Skill validation characteristics (Source: Business Roundtable)
EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING
DAWN KLINGHOFFER, KAREN KOCHER, AND NATALIE LUNA - Onboarding New Employees in a Hybrid Workplace
New hires who are provided with clarity about their role responsibilities, feedback on how they are doing, and resources to help them answer questions are three to four times more likely to contribute to their team’s success during the first 90 days.
Now we are in the era of hybrid work, what’s the ideal way to onboard new employees today? That was one question that the people analytics team at Microsoft sought to answer in a recent study, along with: How can we ensure that new hires thrive while also supporting flexibility? The findings confirmed that onboarding to a new role, team, or company is a key moment for building connections with the new manager and team and doing so a few days in person provides unique benefits. But just requiring newcomers to be onsite full time doesn’t guarantee success. In their article, Dawn Klinghoffer Karen Kocher and Natalie Luna explain and provide examples of how onboarding that truly helps new employees thrive in the modern workplace is less about face time and more about intention, structure, and resources. For example, the study found that the top factors that make the most difference in onboarding new employees are clarity about role responsibilities, feedback on how they are doing, and resources to help them answer questions. New hires who are successfully set up with these three elements are three to four times more likely to contribute to their team’s success during the first 90 days. For more on Microsoft’s approach to employee thriving, which they define as: being energized and empowered to do meaningful work, listen to Dawn in conversation with me on the Digital HR Leaders podcast: How Microsoft Created A Thriving Workforce By Going Beyond Employee Engagement.
LEADERSHIP, CULTURE, AND LEARNING
DAVE ULRICH - Reflections on Performance Management: How to Make Meaningful Progress
In May’s Data Driven HR Monthly, I featured a McKinsey article on a performance management system that puts people first. In his recent article, Dave Ulrich cites a number of sources highlighting that pretty much all stakeholders (including employees, executives and HR leaders) are unhappy with their performance management systems. Ulrich lays out a four-step process for performance management (see FIG 17) comprising: (1) Clarifying expectations with meaningful goals. (2) Measuring and tracking performance. (3) Allocating financial and non-financial rewards. (4) Having positive coaching conversations. Dave then highlights the recently launched Manifesto for Flourishing at Work, a collaboration of practitioners, consultants, and academics to reinvent performance management. He highlights three critical topics from the manifesto:
First, align performance and purpose by making sure that performance encourages progress towards a company’s purpose that includes all stakeholders. Second, manage the complex system of performance by focusing both on individuals within the system and also the system itself. Third, ensure that leaders are secure enough in themselves to use their power to empower others and to allow employees to contribute to their own improvement.
FIG 17: Performance management process – four steps (Source: Dave Ulrich)
ERIN MEYER - Build a Corporate Culture That Works
If you hire people whose personalities don’t align with your culture, no matter what else you get right, you are unlikely to get the desired behaviors.
Ever since Peter Drucker’s infamous assertion that “culture eats strategy for breakfast,” it has been widely acknowledged that managing corporate culture is the key to business success. Yet the link between ‘values’ and ‘behaviours’ is often stark. As INSEAD professor Erin Meyer asks in her latest Harvard Business Review article: “If culture eats strategy for breakfast, how should you be cooking it?” Erin blends in examples from the likes of Amazon, Netflix, Airbnb, Pixar and others and presents six guidelines to help managers who are confronting the challenges of culture building: (1) Build Your Culture Based on Real-World Dilemmas. (2) Move Your Culture from Abstraction to Action. (3) Paint Your Culture in Full Colour. (4) Hire the Right People, and They Will Build the Right Culture. (5) Make Sure that Culture Drives Strategy. (6) Don’t Be a Purist. An absolute must-read. At Insight222, we’re delighted that Erin Meyer will be speaking at our Global Executive Retreat in Amsterdam in September. The Retreat is exclusively for member companies of the Insight222 People Analytics Program. Click on this link to find out more.
ROB CROSS AND KATHERYN BREKKEN | I4CP - The Team Network Effect™: How Precision Collaboration Unleashes Productivity
A new study of 1,400 organisations on team effectiveness, led by Rob Cross and Katheryn Brekken, Ph.D. for The Institute for Corporate Productivity (i4cp), finds that 80% of teams fall short of reaching their full productivity potential due to corporate dysfunction. The study identifies six snares that stifle team performance (see FIG 18), and provides powerful examples including from Roche, which found that efforts to increase geographic and cross-functional collaboration across teams in 89 countries reaped a direct revenue impact of $500 million in less than two years.
FIG 18: How companies rank against the six dysfunctions that stifle team performance (Source: i4CP)
DIVERSITY, EQUITY, INCLUSION, AND BELONGING
SHUJAAT AHMAD - From Productivity to Prosperity: The AI Shift Leaders Must Embrace
The jobs most at risk from AI automation are jobs occupied by women and minority racial groups. In his compelling essay, Shujaat Ahmad argues that this calls for a shift from the current focus on a productivity-only AI model (with an emphasises on cutting costs at the expense of worker well-being and creativity) to a prosperity-first AI model, championing AI's potential to improve human life, promote fairness, and ensure sustainable progress alongside economic growth. Shujaat then breaks down the differences between the two models in four scenarios: software development, product management, go-to market, and recruitment (see FIG 19), as well as outlining three steps for leaders seeking to build a prosperity-first AI strategy: (1) Adopt a Prosperity-First True North and Accountability Measures for AI Adoption. (2) Put Employees in the Pilot Seat. (3) Commit to Responsible AI Development; Integrate AI Ethically and Inclusively.
FIG 19: Productivity Only vs. Prosperity First AI – Recruitment (Source: Shujaat Ahmad)
BCG - Women Leaders in Tech Are Paving the Way in GenAI
A recent BCG study finds that that senior women in technical functions are ahead of their male peers in adopting GenAI—but junior women are lagging behind (see FIG 20). The study identifies three key attributes that correlate with gender disparities in GenAI adoption: (1) Awareness of GenAI’s criticality to job success. (2) Confidence in GenAI skills. (3) Risk tolerance for using GenAI prior to having a company policy. The authors (Maria Barisano Neveen Awad Adriana Dahik Julie Bedard Uche M. Gunjan Mundhra and Katherine Lou) conclude that if the number of senior and junior women with GenAI skills increases, then it’s likely that women’s representation in tech leadership will grow, and call for highly targeted upskilling programs, leadership advocacy and change management.
FIG 20: Women leaders in tech are ahead in GenAI adoption (Source: BCG)
HR TECH VOICES
Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from June that I recommend readers delve into:
RICHARD ROSENOW - 6 Emerging People Analytics Trends for a People-Focused Future – Richard Rosenow of One Model shares his observations on shifts in the people analytics field including related to regulation, team structure and focus, and the people data supply chain (see FIG 21). Definitely worth a read.
FIG 21: The People Data Supply Chain (Source: One Model)
ALICIA ROACH - Want Better Business Planning? Budgeting? Recruiting? Read This! – Alicia Roach of eQ8 provides a treatise on the rising importance of strategic workforce planning: “SWP is a business planning and forecasting process that just happens to be grounded in people.”
FIG 22: Source – eQ8
ANNIE DEAN – State of Teams 2024 – Annie Dean presents Atlassian’s newly published report on the State of Teams, which has a plethora of insights including that teams and leaders who use AI are better at collaborating.
FIG 23: Team that use AI on a regular basis (Source: Atlassian)
SHAY DAVID - From Automation To Augmentation: The Evolution Of HR Tech – Shay David of retrain.ai explains how leveraging HR technology to enhance human capabilities and enrich the employee experience is transforming the workplace.
PODCASTS OF THE MONTH
In another month of high-quality podcasts, I’ve selected five gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below):
REID HOFFMAN - Gen AI: A cognitive industrial revolution - In this episode of At the Edge, Reid Hoffman speaks with McKinsey’s Lareina Yee about the generative AI revolution and how it can teach users to understand and harness its power.
PATRICK COOLEN – The Evolution of People Analytics – In a fascinating episode of the Talent Intelligence Collective podcast, Patrick Coolen joins hosts Toby Culshaw Alan Walker and Alison Ettridge to discuss all things people analytics and the factors that drive success.
MARCO BURELLI – Shaking Up Silos – Marco Burelli joins the HR Visionaries podcast to walk through the HR transformation journey at TomTom including breaking down old silos to create a more unified and dynamic team structure.
JOSH BERSIN - A New, Transformed Role For The HR Business Partner – Josh Bersinoutlines some of his latest research in relation to the new and transformed role of the HR Business Partner, which as Josh says has become pivotal to a company’s successful people strategy.
SHUBA GOPAL - Computational Biology Helps People Analytics with Small Samples & More – In another must-listen episode of the Directionally Correct podcast, Shuba Gopal joins hosts Cole Napper and Scott Hines, PhD to discuss how techniques gleaned from computational biology can help in people analytics.
VIDEO OF THE MONTH
PRASAD SETTY – Tech It Up a Notch: GenAI for HR Leaders
In his keynote at the i4CP Next Practices Now Conference, Prasad Setty, formerly Head of People Analytics at Google, breaks down the opportunities and challenges of GenAI in organisations and posits a path forward for HR leaders to champion humanity in the workplace. At Insight222, we’re delighted that Prasad will be speaking at our Global Executive Retreat in Amsterdam in September. The Retreat is exclusively for member companies of the Insight222 People Analytics Program. Click on this link to find out more.
BOOK OF THE MONTH
SHARNA WIBLEN - Rethinking Talent Decisions: A Tale of Complexity, Technology and Subjectivity
In ReThinking Talent Decisions, Sharna Wiblen, presents an uncomfortable truth: Talent decisions are always subjective. Drawing on examples from business, sports, movies and everyday interactions, Sharna emphasises the importance of understanding complexity and encourages deliberate, intentional, and informed decisions and conversations around talent. For a teaser from the book, read my expert interview with Sharna: Rethinking Talent Decisions and Navigating Subjectivity in HR.
RESEARCH REPORT OF THE MONTH
NICHOLAS BLOOM, RUOBING HAN, AND JAMES LIANG - Hybrid working from home improves retention without damaging performance
There are a lot of opinions about the impact of hybrid work and some executives argue that it damages productivity, innovation and career development. But what does the data say? In their study, Nick Bloom Ruobing Han and James Liang find that hybrid working improved job satisfaction and reduced quit rates by one-third. The reduction in quit rates was significant for non-managers, female employees and those with long commutes (see FIG 24). For more from on this topic, listen to Nick Bloom in conversation with me on the Digital HR Leaders podcast: Unmasking Common Myths Around Remote Work.
FIG 24: WFH cut attrition by 33% overall, and had a particularly strong effect for non-managers, women and those with longer commutes (Source: Bloom et al)
FROM MY DESK
June saw the final three episodes of series 39 of the Digital HR Leaders podcast, which was kindly sponsored by our friends at Crunchr. Thank you to Ralf Bovers and Dirk Jonker for your partnership and support. Also included are two articles inspired by series 38 and 39 of the podcast respectively.
DIRK JONKER – Driving Business Transformation with Advanced People Analytics - Dirk Jonker, one of the most knowledgeable and passionate leaders in the people analytics field, joins me to discuss how people analytics is enabling HR to play a more active role in business transformation and strategy.
ARMAND SOHET - Painting the Future of HR with AI, Analytics and Curiosity - Armand Sohet, Chief Sustainability, HR, and Communications Officer, joins me to discuss how a data-driven approach to HR has led to substantial cost savings and efficiency gains at AkzoNobel.
ERIN GERBEC – How Cardinal Health Transformed Their People Analytics Function – Erin Gerbec, Ph.D. shares insights from her three-year journey of transforming the people analytics operating model at Cardinal Health, and how they shifted from a build to a buy strategy for its people analytics platform.
DAVID GREEN - Revolutionising Workplace Experience through Employee Insights and Analytics – In this article for myHRfuture, I look at how people analytics and AI is reshaping the employee experience through the eyes of recent guests on the Digital HR Leaders podcast including Loren I. Shuster Nickle LaMoreaux and Craig Starbuck, PhD.
DAVID GREEN - How can HR leaders use people analytics to uncover and address inclusivity gaps? – A round up of series 39 of the Digital HR Leaders podcast, with insights from Daisy Auger-Domínguez (she/her/ella), Kate Bravery, and Ilya Bonic as well as Dirk, Armand, and Erin.
PETER SCHULZ-RITTICH AND DAVID GREEN – D as in Data Analytics – In June, I also had the pleasure of joining Dr. Peter Schulz-Rittich Caroline Amalie Allard and Christina May on ISS’s A People and Culture Podcast to discuss the power of people analytics within HR, where we are today – and where we are going.
LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH?
I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 500 roles.
THANK YOU
Thomas Kohler for including the May edition of Data Driven HR Monthly in his round-up of resources for HR professionals
Amit Mohindra (here), Oliver Kasper (here) and Michelle Deneau (here) for sharing details on the Insight222 People Analytics Trends survey for 2024
Neeru Monga (here), Agostina Verni (here), and Tristan Hack (here) for sharing takeaways from the recent Insight222 webinar on Transforming HR and People Analytics with AI.
Sharon Saldanha for sharing her key learnings on the Digital HR Leaders podcast episode with Kate Bravery and Ilya Bonic on the importance of skills and trust
Similarly, Olimpiusz Papiez also highlighted the relationship between trust and employee engagement, productivity and retention, which Ilya, Kate and I discussed in the Digital HR Leaders podcast episode: Navigating the Future of Work: AI, Skills, and Trust in the Modern Workforce.
Marcela Niemeyer for recommending and sharing her key learnings on the Digital HR Leaders podcast episode with Nickle Lamoreaux on How IBM uses AI to transform HR.
Harisenin.com for including me in their list of 12 people to follow for HR professionals on LinkedIn.
Aurélie Crégut for sharing her key takeaways (here) from the Digital HR Leaders podcast episode with Dirk Jonker: Driving Business Transformation with Advanced People Analytics
Alicia Roach for posting about the fifth anniversary of the Digital HR Leaders podcast (see here), which included her episode, How Strategic Workforce Planning Contributes to Business Success, ranking in the top 10 most listened to episodes!
Sonali Kumar for sharing her learnings on the Digital HR Leaders podcast episode with Piyush Mehta, How to Create Personalised Employee Experiences.
Thank you to everyone that contributed to the amazing video celebrating ten years of the Data Driven HR monthly: Sue, Jeremy. Eden, Kalifa, Lexy, Greg, Adam, Dawn, Chris, John, Jonathon, Kris, Greg, Paul, Anna, Cole, Shannon, Al, Toby, Thomas, Dirk, Antony, Alan, Michael, Ian, Chris, Craig, Andrew, Alexis, Patrick, Sanja, Dan, Mark, Ben, Sukumaran, Stela, David, Christopher, Daisy, Serena, Tony, Chad, Pietro, Kathi, Casey, Gabe, Lydia, Mark, Allen, Nicole, Nicholas, Stephanie, Andrew, Ramesh, Hallie, Dave, Roxanne, Matt, Max, Stacia, Travis, Jordan, Kelly, Ethan, Bethany, Rob, Anthony, Meg, Shawn, RJ, Jordan, Justin, Tanmay, Jon, Christine, Nick, Madhura, Brian, Raja, Henrik, Ben, Ben, Prasad, Maja, Stacey, Courtney, Buddy, Kristin, Shujaat, Gary, Alicia, Fabian, Philipp, Irene, Nick, Ryan Hammond, Amit Mohindra Gregor Teusch and of course Richard Rosenow.
Finally, a huge thank you to the following selection of people who shared the May edition of Data Driven HR Monthly. It's much appreciated: Viktoriia Kriukova (Вікторія Крюкова) Juan Antonio Vega Davina Erasmus Dan Riley Danielle Farrell, MA Ugur Zel (Prof. / ACC) Veronika Birkheim Chris Louie Jaqueline Oliveira-Cella Ganchimeg Gantulga EDLIGO Talent Analytics and Learning Analytics Ken Oehler Nick Lynn Sohil Varshney Jackson Roatch Graham Tollit RADICL Adam Tombor (Wojciechowski) Reshma Mawji Jeremy Carpenter, M.S., MPA Terri Horton, EdD, MBA, MA, SHRM-CP, PHR Bilal Laouah Catriona Lindsay Ayomide Ebietomiye Irada Sadykhova Caroline Arora Lawson Iduku German Arciniegas Brandon Merritt Johnson Jim de Vries Dave Millner Aravind Warrier Terrance Edwards David Simmonds FCIPD Stefano Di Lauro Francesca Caroleo, SHRM-SCP, ICF-ACC Emmanuel Dominick Chris Long Cedric Borzee Maria Alice Jovinski Aurélien GOZET Aizhan Tursunbayeva, PhD, GRP Susan Knolla Markus Graf Matt Elk Robert Newry Anil Saxena Fresia Jackson Conor Gilligan Alexandra Nawrat Hanadi El Sayyed Kannu Priya Arora Patrick Svensson Phil Inskip Jennifer Moore John Gunawan Ann-Marie Clayton Johnson Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Rebecca Thielen Shilpa Shah Tom Morehead PCC,MBA,SPHR David Balls (FCIPD) Meghan M. Biro Sebastian Kolberg Olivier Bougarel Catherine Coppinger Aimee Wilkinson Andrew Bamber Matt Higgs MBA FCIPD Chandresh Natu David Duewel Nicola Wood Andrew Pitts Kerrian Soong Andrés García Ayala Sanja Licina, Ph.D. Jeremy Shapiro Chris Lovato Tatu Westling Ken Clar Brandon Roberts David van Lochem Placid Jover Ohad Geron Carly Fordham Tobias W. Goers ツ Dave Fineman Laura Thurston Higor Gomes Kirandeep Chakrabarti Stephen Hickey Liz Mackay Lina Makneviciute David McLean
ABOUT THE AUTHOR
David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021.
MEET ME AT THESE EVENTS
I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024:
June 25-26 - Insight222 North American Peer Meeting (Minneapolis, US) - exclusively for member organisations of the Insight222 People Analytics Program
July 24 - LinkedIn Live - Skills-powered organizations in the Age of AI, with Ravin Jesuthasan and Tanuj Kapilashrami
September 16-19 - Workday Rising (Las Vegas)
September 24-26 - Insight222 Global Executive Retreat (Colorado, US) - exclusively for member organisations of the Insight222 People Analytics Program
October 2-3 - People Analytics World (New York)
October 16-17 - UNLEASH World (Paris)
October 22-23 - Insight222 North American Peer Meeting (hosted by Workday in Pleasanton, CA) - exclusively for member organisations of the Insight222 People Analytics Program
November 12-14 - Workday Rising EMEA (London)
November 19-20 - Insight222 European Peer Meeting (hosted by Merck in Darmstadt, Germany) - exclusively for member organisations of the Insight222 People Analytics Program
More events will be added as they are confirmed.
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