This doctoral thesis examines the rise of Big Data as a complex sociotechnical phenomenon. How is it that the notion of Big Data could gain so much traction, becoming the subject of considerable hype and hope? Adopting a broadly interdisciplinary perspective, the article dissertation investigates the historical roots as well as contemporary causes of the recent push for data and numerical evidence. Furthermore, it critically analyses the epistemic decision making, and explores fictional accounts of algorithmic regulation that may trigger a more reflexive engagement with the potential pitfalls of Big Data-based technologies. The thesis objective is to contribute to a better understanding of the politics of people's trust in numbers, but also to point towards a more responsible and democracy-preserving governance of Big Data-driven innovation. What is ultimately argued is that Big Data should not be seen as a fad destined to fade, but as the current tagline for a process of computerization and datafication that will continue to shape and transform every aspect of our daily lives.