Improving Big Data Governance with Semantics - AnalyticsWeek

Effective data governance consists of protocols, practices, and the people necessary for implementation to ensure trustworthy, consistent data. Its yields include regulatory compliance, improved data quality, and data's increased valuation as a monetary asset that organizations can bank on. Nonetheless, these aspects of governance would be impossible without what is arguably its most important component: the common terminologies and definitions that are sustainable throughout an entire organization, and which comprise the foundation for the aforementioned policy and governance outcomes. When intrinsically related to the technologies used to implement governance protocols, terminology systems (containing vocabularies and taxonomies) can unify terms and definitions at a granular level. The result is a greatly increased ability to tackle the most pervasive challenges associated with big data governance including recurring issues with unstructured and semi-structured data, integration efforts (such as mergers and acquisitions), and regulatory compliance.