For years, many business decisions have been made based on experience, intuition, or the immediate context. It worked, until it didn't. Today, the importance of data in the economy is undeniable and, above all, measurable. According to data from IDC, The global volume of data is already exceeding 160 zettabytes, reflecting exponential growth in the generation and consumption of information. At the same time, the impact of data transcends technology to become a structural element of the economy: in Europe, the data economy is estimated to represent up to 6.41% of GDP by 2030, exceeding one trillion euros, according to data from the Data Office.
This evolution is already transforming how organizations understand decision-making. Globally, data has become a central element in business competitiveness. However, at the operational level, the reality is more heterogeneous. In Spain, for example, the use of data-related technologies such as Big Data and Artificial Intelligence continues to grow, although their advanced adoption is still limited, according to the National Observatory of Technology and Society (ONTSI).
This situation is also reflected in the way decisions are made within organizations. According to the report Digital Pulse 2025: Digital Maturity Barometer of Spanish Companies According to Excelia, over 53.11% of professionals say their companies base their decisions on data, although a significant percentage still use it in a limited way. This shows that many organizations have incorporated data into their discourse, but not always into their operations. And that's precisely where the difference lies.
From information to decision
Data alone solves nothing. Its value emerges when it's transformed into context, insight, and ultimately, action. In an environment where the amount of information grows exponentially, the ability to structure, analyze, and interpret it becomes a determining factor in anticipating trends, identifying opportunities, and quickly adjusting strategies.
It's not just about understanding what has happened, but about building a solid foundation for understanding what might happen and acting accordingly. At that point, data ceases to be a passive resource and becomes a direct enabler of more precise decisions aligned with business objectives.
The gap between having data and knowing how to use it
Despite advances in digitalization, the effective use of data remains one of the biggest business challenges. In Spain, only 13.91% of companies actively use Big Data technologies, according to ONTSI.
Added to this is an operating model still in transition: 44.51% of companies combine manual and automated processes, and nearly one in four still operate primarily manually, as revealed in the Excelia report. This situation limits both efficiency and adaptability in increasingly dynamic environments. The difference between organizations lies not in access to technology, but in their ability to integrate data into their operations.
One of the main obstacles is not a lack of tools, but a lack of focus. Many organizations approach data with urgency, as an isolated project or a responsibility limited to the IT department, instead of integrating it as a core business driver. This fragmented approach leads to misaligned initiatives, duplication of effort, and difficulty in measuring the real impact of decisions. Without a clear vision, data accumulates, but it doesn't transform.
Data quality determines the quality of the decision
Not all data is useful, nor is all data reliable. The quality of a decision depends directly on the quality of the available information. The impact of this problem is tangible. Gartner It is estimated that poor data quality costs organizations an average of $12.9 million. Without a solid foundation, any analysis loses reliability and any decision becomes more risky.
Organizations that successfully integrate data, automation, and technology into their operations not only improve efficiency but also develop more agile, flexible, and results-oriented structures. This approach allows them to optimize resources, reduce costs, and increase responsiveness to market changes. Furthermore, when data becomes an integral part of the operating model, it ceases to be merely a support tool and becomes a driver of sustainable growth.
The real difference isn't having data, it's knowing how to use it.
Accessing data has never been easier. However, many organizations continue to make decisions based on incomplete perspectives. The difference is no longer who has more information, but who can interpret it correctly and translate it into coherent, rapid decisions aligned with the strategy.
Because data doesn't eliminate uncertainty, but it does allow us to reduce it. In an environment where every decision counts, this makes all the difference.
