EVENT DOSSIER
Recent reports indicate that the core objectives of big data governance are undergoing a crucial transformation. Traditional governance focused on solving problems related to data availability, ensuring that data could be effectively utilized; however, the current trend has shifted towards the construction of “data trust” at a deeper level. This new phase emphasizes establishing trust mechanisms throughout the entire data lifecycle. It no longer focuses solely on technical availability and compliance, but rather on establishing data credibility in terms of quality, security, and authenticity through standardized, transparent, and verifiable methods, to support decision-making in complex scenarios.
Big data governance aims to address four issues: data chaos, inconsistent standards, uncontrolled tasks, and broad permissions. This governance effort focuses on the evolution from “data availability” to “data trustworthiness”, clarifying its necessity, core targets, boundaries, and the business value and technical boundaries that the technical team needs to understand.