We live in the age of data and now, AI. There’s no shortage of talk about how important data is and how powerfully it can be used. But what good are Data-centric Governance frameworks if they ignore the people behind the data? Without consciously focusing on people, Data Governance becomes little more than a mundane exercise of processes and costly tooling. At its heart, effective Data Governance is about people. I have heard many leading experts say Data Governance isn’t only about processes and platforms; it’s about people.
I’ve read extensively about the RMS Titanic and the tragic night it sank in the North Atlantic on April 15, 1912. I knew the facts well. But it wasn’t until I read Walter Lord’s A Night to Remember that the story truly came alive. Through his unique writing style, I realized the story was less about the ship and more about the people. The same realization strikes me when I think about World War II. History frames World War II in terms of nations and strategy; Spielberg’s Saving Private Ryan brings it back to people. These stories of people remind me of something essential: systems, machines, and structures matter, but they only matter because of the people within them.
“ Whether it’s a ship, a war, or a modern enterprise, the real story is always about the people. ”
After defining six principles of conduct, I paused and asked myself what truly matters. I realized that even if all six were followed, they would mean little without people at the center. That moment gave rise to my seventh principle of responsible conduct – People matter most.
If people matter most, then the next question is simple: what matters most to people, and what moves them to act? Well-being has been knocking on our door for a while now. Recently, McKinsey reports that 84 percent of US consumers say wellness is a “top” or “important” priority. (In the United Kingdom, that figure is 79 percent, while it soars to 94 percent in China.) We are contemplating a global wellness industry worth two trillion dollars in the future.
Along with strong teamwork and collaboration at work, it’s worth considering how we can better align and measure well-being itself. I kept thinking about what makes our lives genuinely good human lives. That line of thought led me to Aristotle and his Nicomachean Ethics – the best-known work on ethics. Aristotle is one of the greatest thinkers in the history of Western science and philosophy.
I’m not bringing up Aristotle just for the sake of theory. It is well known that Aristotelian philosophy, which once shaped medieval scholarship, was later challenged and pushed aside by the scientific revolutions of the 16th and 17th centuries. And yet, by the twentieth century, many of his ideas quietly found their way back. In today’s age of AI, I believe these ideas will find renewed relevance as we collaborate to explore new technological frontiers. Read the interesting article from MIT Sloan, “Philosophy Eats AI”.
Aristotle’s insights on happiness, in particular, remain strikingly relevant. What stays with me from the Nicomachean Ethics is how clearly he speaks about getting the best of ourselves, the best human life. This highest good, Aristotle concluded, is eudaimonia often translated as happiness, but also understood as human flourishing or living well. While modern views suggest many paths to the best human life, Aristotle maintains that it is grounded in happiness.
“ The highest human good, the ultimate goal of all actions, is eudaimonia. ”
This insight is particularly illuminating and aligns with my focus on workplace well-being. Through his philosophical perspective, Aristotle invites us to reflect on what it truly means to live and work well, a perspective that will guide our collective path forward in the successful implementation of Data and AI Governance frameworks. At the heart of Aristotle’s thinking is eudaimonia, commonly translated as flourishing or well-being. He goes beyond the modern idea that happiness is just about feeling good. For him, happiness is not a transient feeling but a state of being. Happiness is not something we are born with or gain by luck or learning alone. It grows through learning, habit, and steady effort. Without virtue, good feelings by themselves do not add up to true happiness.
Aristotle is asking us to improve ourselves and be virtuous. That gets us to our next question. What is virtue? It is a disposition to do the right thing at the right time. Aristotle believes that we are not born virtuous, but instead we all have the capacity to become virtuous. To become virtuous, one goes through a two-step process. First, training and education build good habits by guiding us to repeat the right actions. Second, we develop practical wisdom, which connects abstract knowledge with concrete action. Aristotle argues that when these two work together, we begin to act rightly as a matter of habit, because we learn to think about ethics clearly, even in new or unfamiliar situations.
“ The virtues are learned and practiced through action ”
Training and education are foundational to the success of Data and AI Governance. They ensure alignment with organizational goals, policies, procedures, and regulatory requirements. Without proper education, roles and responsibilities are assigned without the capability or support needed to execute them effectively. If virtue defines our way of working, then training and education must come first so knowledge can be transformed into practical wisdom and applied decisively to the success of Data and AI Governance.
Martin Seligman, known as the father of positive psychology from the University of Pennsylvania, is known for his extensive work on well-being, the science of happiness at work. On that note, nurturing happiness helps promote open communication, helps us understand each other’s perspectives, and helps us negotiate common ground. To me, Data Governance is fundamentally a people-centric activity; it can benefit greatly from this Aristotelian approach. Unhappiness at work doesn’t stay at work but it spills into the rest of our lives.
“ We usually call challenges “pain points,” but to me, they could just as well be called “unhappy points. ”
Effective Data Governance is ultimately about working well with people to solve meaningful business use cases. Through experience, I’ve come to explore how Data Governance can feel more effortless and stay focused on what truly matters. At its heart, which means helping people work with confidence, trust, and clarity. When people feel supported and trusted, they collaborate more, and that collaboration leads to better outcomes. Designing a Data and AI Governance framework with people’s happiness at its core means improving collaboration, reducing friction, building trust, and supporting everyday decision-making.
At 1lessclick®, people come first. From day one, we design solutions by actively listening, asking the right questions, and collaborating closely with stakeholders, sponsors, SMEs, owners, and users. Our thought leadership focuses on what truly matters to the people we work with, adding real value to their day-to-day experience. Even when views differ, we respect your perspective and work together around shared values for the greater good of the Data and AI Governance program. We aim to be the best version of ourselves.
We believe clear, consistent communication makes negotiations smoother. Our friendly, effortless approach builds confidence and reduces pushback. By keeping people at the center, we align with executives, support their vision, and build strong communication channels across the enterprise, consulting SMEs and keeping everyone promptly informed. Our metrics and KPIs stay people-centered, focusing on adoption, automation, and acceptance. At the heart of our people-centric philosophy is this belief: progress comes not from technology or frameworks alone, but from the people who bring them to life and make them meaningful.
