Data-Informed Leadership

If I had asked people what they wanted, they would have said faster horses

I love this quote, even if I’m not necessarily a fan of Henry Ford himself.

Why? Because data tells you about the past, but it cannot design the future on its own.

Today, as companies scramble to become "Data-Driven," they are falling into this exact trap. While leaders drown in Excel spreadsheets, they miss out on true innovation—the "car" itself. This is what we call "Digital Obesity." We consume too much information but fail to convert it into decisions.

The Numbers Behind the Crisis

• The Decision Crisis: 85% of managers admit they feel distress and anxiety when making decisions due to the sheer volume of data. Instead of providing confidence, data is creating anxiety (Source: Oracle, The Decision Dilemma Global Study, 2023).

• Wasted Billions: 55% of the data collected by companies is "Dark Data." It is gathered and stored, incurring costs, but never used. We aren't accumulating knowledge; we are hoarding digital trash (Source: Splunk, The State of Dark Data Report).

• Analysis Paralysis: 60% of Big Data projects (and according to Gartner, sometimes up to 80%) fail before they ever become operational. Teams spend so much time analyzing data that they never find the time to take action.

The Solution?

We must stop trying to be Data-Driven and start practicing Data-Informed leadership. Otherwise, I see little chance for AI projects, in particular, to succeed.

1. Don’t measure everything: Focus only on the KPIs that serve your strategic goals.

2. Don’t kill intuition: Data tells you what happened; human intuition answers why and how. The best outcomes happen when you position AI alongside human intuition at the point of decision-making.

3. Speed > Perfection: It is always more profitable to make a decision with 70% of the data and adjust along the way, rather than waiting for 100% certainty.