Reducing Data Work from Months to Hours

[jrineakter]

Cognition results from a healthy nervous system of the sensory inputs of sight, smell, touch, hearing, and vision, and the motor outputs enabling motion, breath, and organ function, all interacting through the control and command of the brain. A data catalog is, in many ways, the central nervous system of the enterprise; the sensory organ that connects sales, customer service, marketing, development, IT, HR, finance, supply chain, operations, and accounting.

A knowledge graph, meanwhile, is the semantic architecture of meaning and reasoning; it is the learning organism to which users apply all manner of data ontologies and taxonomies. Like the human brain, it gets smarter and smarter. As the brain of your enterprise, it powers the motor functions of your operations through the data catalog. Knowledge graphs are what power Google, Facebook, and a large part of Amazon.

The concept of a knowledge graph dates brazil whatsapp number data back to the 1980s, and early academic research on semantic, or concept-connecting, networks. The notion of a data catalog — an inventory of data and particularly metadata — originated before that, to the creation of SABRE, the airline industry’s reservation system that debuted in 1964.

Agile Data Governance
At data.world, we have evolved and woven these tightly together, into a seamless platform that allows users to query it, to execute upon it, and to make well-informed decisions once impossible. The results are highly collaborative, thinking organizations — far more efficient and effective than their competitors.

“We now do in half a day what we couldn’t do in six months,” Michael Murray, the former president of the data division at the global digital agency Wunderman Thompson, told us.

In sum, we call this catalyst of cognition, “Agile Data Governance.”

In my next post I’ll talk about Agile Data Governance and how it enables companies to share their data creatively, productively, and responsibly.