Big Data refers to extremely large data sets that cannot be stored or processed using traditional systems, such as printed files or standard servers. These data come from diverse sources such as social media, sensors, transaction records, published articles, among others. They are characterized by their large volume, variety of formats, the speed at which they are generated, and their veracity.
Architect Yolanda Hermosa
In the construction sector, Big Data significantly enhances productivity and decision-making efficiency. For example, it can be used in cost and budget analysis to identify savings opportunities; in procurement, by reducing material delivery times; and in risk and safety analysis, helping to prevent incidents on construction sites.
It is also useful for optimizing project planning and scheduling, thereby reducing delays and cost overruns, and for analyzing energy efficiency to suggest ways to reduce consumption, contributing to sustainability. In terms of quality management, it helps detect improvement opportunities and ultimately contributes to greater customer satisfaction by achieving more predictable and reliable results.
Among the most utilized tools are Geographic Information Systems (GIS), which consolidate data about the project environment; Construction Management and Maintenance Systems (CMMS), which allow for planning and managing resources; and data analytics platforms, which process large volumes of information to identify patterns and trends. Sensors and IoT devices also stand out, capturing real-time data on variables such as temperature, humidity, or air quality. Augmented reality technologies aid in visualizing projects and enhancing team communication.
Additionally, Building Information Modeling (BIM) technology is a major player in this context, as it integrates many of these tools into a single digital model. With adequate development, skilled human talent, and the correct tools, BIM can even create a digital twin of the project, that is, a virtual replica where variables can be analyzed, and errors anticipated before construction begins.
In Paraguay, the construction sector is beginning to embrace Big Data, employing technological solutions in infrastructure projects and analyzing and interpreting large volumes of data across various productive sectors.
Although the adoption of these tools in the construction sector has evolved more slowly compared to other industries, Big Data could reverse this trend. By identifying patterns and trends, Big Data helps optimize processes and drive continuous improvement, leading to more efficient, sustainable, and competitive construction projects.
The opening of Plaza Norte
