Data as a strategic asset: why 90% of companies are missing the point

Pic by Laurence Laborie

Companies are collecting more data than ever. Yet very few turn it into a real strategic lever.

For years, data has been called the "new oil." Companies have followed the trend. They collect, store, structure, and analyze more information than ever. Investments in tools and infrastructure have never been higher. And yet, a reality is slowly setting in: most organizations don't turn their data into a decision-making lever. Data is everywhere, but it rarely drives the important choices. The problem isn't the technology. It's the lack of vision. This gap creates a paradox. Companies recognize the strategic potential of data, but still struggle to turn it into a concrete advantage.

Accumulation without direction

Data strategy is too often built around the tools available, rather than the needs of the business. Collection becomes an end in itself, driven by what is measurable rather than what is actually useful for decision-making. Volumes grow fast, but usage stays limited. Information is scattered, sometimes redundant, and rarely connected to strategic priorities. This accumulation creates an impression of maturity without generating tangible value. With no clear direction, data turns into a stockpile of information. It absorbs time and resources, but stays hard to activate in any meaningful way.

Governance is still too technical

Data is usually owned by IT or data teams. Their role is essential, but it isn't enough to shape a strategic vision. When data is framed only as a technical matter, it gets reduced to questions of architecture, quality, or compliance. It's well organized, but rarely used to drive structuring decisions or arbitrate between options. A strategic asset can't be managed with tools alone. It requires choices, priorities, and a business reading that goes beyond the technical frame.

A lack of alignment with business priorities

The value of data doesn't come from its volume, but from its usefulness. It has to inform concrete decisions. In many companies, data use stays disconnected from the priorities that matter most. Dashboards get built, KPIs get tracked. But they rarely feed the key decisions, like entering a new market or evolving the offering. Data ends up being used mainly to analyze the past. It informs, but it barely influences strategic choices.

Mistaking technology for strategy

The rise of AI has reinforced this confusion. Many companies focus their efforts on tools, platforms, or models. But technology doesn't create value on its own. Without a clear direction, it simply amplifies what already exists. Automating an inefficient process doesn't make it more relevant. The core question stays the same: you have to define what you're trying to improve first. Only then does technology start making sense.

Rethinking data as a strategic asset

Treating data as a strategic asset means a shift in posture. It's no longer about managing data: it's about defining its role in value creation. The starting point has to be decisions. Which decisions need to be better informed? Where are the zones of uncertainty? Which opportunities remain invisible today? In this approach, data becomes a lever for direction. It's no longer just about measuring performance: it's about building it. Data only creates value when it's guided by a clear vision. Without that, it stays an untapped potential. The difference comes down to one simple thing: the ability to connect data to concrete decisions.