Every digital interaction, every trip, every purchase, and every business transaction leaves a trail of information that, when properly managed, turns into knowledge. Data has become a strategic resource—almost as essential as energy—and is changing the way we work, make decisions, and innovate.
From Clay Tablets to the Digital Age
The desire to record information has been with humanity since its earliest days. Ancient civilizations were already collecting data on agriculture, trade, and population to make more effective decisions. For centuries, these records were kept by hand, scattered, and slow to process.
With the advent of computers in the 1950s, the way information was stored and analyzed changed radically. Databases made it possible to organize large amounts of information, and the widespread digitization of businesses in the 1990s and 2000s led to an explosion of new data. What was once the exception became the norm: everything began to be recorded.
The Birth of Data Science
As a result of this rapid growth, a new need has emerged: transforming data into insights. Data science arose precisely from this convergence of statistics, technology, and business knowledge. The first data scientists combined traditional analytical methods with new digital tools, seeking to answer the central question: What does the data tell us?
This field has evolved rapidly. Programming languages dedicated to analysis, intuitive visualization tools, and databases capable of handling previously unimaginable volumes of information have emerged. Gradually, data has evolved from being a historical archive to becoming a strategic asset.
Big Data: When Data No Longer Fits in Files
Entering the era of Big Data meant facing a new challenge: handling massive volumes of data, generated in real time and in multiple formats—text, video, sensor data, images, transactions, and social media interactions. The simple act of using a smartphone generates thousands of data points per day.
Companies then needed new technological solutions capable of storing, processing, and analyzing this flood of information. More than just a concept, Big Data represents a shift in scale that has enabled faster analyses, more reliable predictions, and more informed decisions.
Artificial Intelligence: Data Gains a “Brain”
If data is the raw material, Artificial Intelligence (AI) is the force that learns patterns, can make predictions, and take automated decisions. In its traditional form, AI analyzed historical patterns to predict future behaviors.
In recent years, we have witnessed the advancement of generative AI, which is capable of creating text, images, code, or simulations using large models trained on vast datasets. This new phase has brought new opportunities and challenges: greater automation, greater creative capacity, but also greater responsibility for the ethical use of data.
Today, AI is a natural part of our daily lives—in movie recommendations, voice assistants, machine translation systems, maps that calculate the best route, and models that help companies predict trends in their metrics.
Data Intelligence in Businesses
For organizations, data intelligence represents a decisive competitive advantage. It is not just a matter of collecting information, but of transforming it into concrete actions: optimizing processes, anticipating trends, enhancing internal efficiency, and supporting strategic decisions.
Within the Base Group, these principles have long been an integral part of
of our way of working. With years of accumulated experience, we have become true experts in data intelligence, developing in-house tools, methodologies, and talent that today allow us not only to be advanced users of these solutions, but also providers and exporters of this knowledge.
The launch of Vera’s operations reflects this maturity: what we have learned and built “at home” is now ready to expand into other markets, supported by teams trained in-house who have a deep understanding of the automotive sector’s unique characteristics.
The Future: Data as a Driver of Evolution—and a Commitment to Innovation
The path ahead is both challenging and exciting. We closely monitor AI trends and integrate them in a mature and responsible manner, always focusing on adding value for our customers.
That is why we will move forward internally with a proof of concept in artificial intelligence in partnership with an expert, strengthening our ability to innovate.
Despite all the technology, the human factor remains irreplaceable. It is people who ask questions, interpret, create, make decisions, and set the direction. Data intelligence is, at its core, a partnership between powerful systems and teams capable of transforming information into real impact—and it is in this spirit that Vera aims to grow in a sustainable, focused, and ambitious way.