The increasing availability of big data and the advancement of algorithmic technologies have transformed the regulatory landscape, offering new opportunities and challenges for regulators, especially in developing countries. This paper explores the concept of algorithmic regulation, focusing on how big data can influence regulatory processes in Colombia and Peru. Through an empirical study involving interviews with regulators in both countries, we assess their ability to use big data effectively. The analysis highlights the critical importance of developing data architectures and integrating systems to process large datasets. Our results reveal that while Colombia shows greater progress in data architecture development, both countries face challenges related to data management and technology infrastructure. The study concludes by emphasizing the need for clear standards, methodologies, and transparency to ensure that algorithmic regulation supports better decision-making and public confidence in regulatory systems.