The Secret to Business Users Understanding Big Data: Enterprise Taxonomies

The key to understanding big data doesn’t lie with some existent, or even forthcoming, application of Artificial Intelligence—although AI can certainly abet the process. Nor does it expressly relate to any facet of data science, blockchain, or decentralized computing application such as the Industrial Internet. Instead, the basis for modeling, integrating, governing, and even querying many of these manifestations of the data ecosystem lies with something much simpler: words. Classifications of words and their hierarchies, taxonomies, are the rudiment to understanding big data’s meaning in terms business users comprehend. When such terminology systems span the enterprise, they create opportunities for the business to capitalize on big data’s underlying meaning, regardless of its form or the techniques used to access it. According to Franz CEO Jans Aasman, “The future of data management is that it’s tied into taxonomies that explain the main concepts of a particular business.”