Do you know that situation when data is prepared, monitored, high-quality, and accessible through reports? The code is clean, the architecture modern, and the implemented data governance could easily be presented at conferences. And yet, something still feels off. The data is not being used as much as it could or should be. Considering the level of investment, the value delivered is underwhelming. Technologically, everything is correct. Business requirements have been met. On paper, nothing is missing.
Yet between technology and business there is another layer that ultimately determines whether data will truly be used. That layer is the human one — with its expectations, motivations, experience, and biases. This “human layer” cannot be ignored in the equation. It is just as critical as technology and business context. And still, it rarely receives systematic attention.
For a long time, I was missing a structured resource that would address this area in a practical way — not abstractly, but directly in the context of data and analytics. As humans, we are shaped by evolutionary mental shortcuts and cognitive biases that once helped us survive. Today, however, they often distort decision-making, interpretation of data, and acceptance of analytical outputs. Some appear daily, others only in specific situations. Some affect individuals, others emerge only in group dynamics. Over time, I collected and analyzed more than 300 cognitive biases and related effects that influence data projects.
The result is a 288-page book that systematically examines these biases — how they are defined, how they manifest in data and analytics, how to identify them, and how to mitigate their impact. It is intended for anyone working in the data field who is interested in what truly happens at the intersection of technology and business — where human decision-making ultimately determines value.
I am gradually publishing parts of these insights here on LinkedIn. At the current pace, it would take several years to publish everything. If you prefer to have it all in one place now, the book is available on Amazon:
𝐌𝐢𝐥𝐨š 𝐆𝐫𝐞𝐠𝐨𝐫 – 𝐓𝐡𝐞 𝐇𝐮𝐦𝐚𝐧 𝐋𝐚𝐲𝐞𝐫: 𝐀 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐌𝐚𝐧𝐮𝐚𝐥 𝐟𝐨𝐫 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐁𝐢𝐚𝐬𝐞𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬.