An Intellyx BrainCandy Brief
We are now in a data-driven world, which means organizations must become data-driven enterprises — and be run by modern data workers — to compete. This paradigm, in which work is data-centric, however, demands both a cultural shift and a data and analytics infrastructure that looks vastly different from the era in which analytics were painstakingly produced in some back room and published in a series of canned reports.
Alteryx recognized that this situation demanded a new way of approaching things, particularly as data science and algorithms are transforming the way that organizations and their workers use data. As a result, the company has created a self-service, end-to-end analytics platform designed for what it calls the modern data worker. The company’s platform helps its clients discover, catalog, and augment data so they can use it to create predictive analytics and derive insights from it. Moreover, it has a comprehensive set of capabilities to enable data consumers to leverage, share, and collaborate around the resulting insights — all with a focus on simplicity and self-service.
The company recognized, however, that as data science and the use of algorithms have become a critical capability — and also relied on the same data used for traditional analytics — that they needed to bring these two data-centric use cases together. The platform, therefore, also makes it easy for data scientists to natively collaborate in this end-to-end lifecycle, and also provides things like model management to help ensure that data science efforts remain sustainable once they’re in production.
©2019 Intellyx LLC. Intellyx advises companies on their digital transformation initiatives, and helps vendors communicate their agility stories. At the time of this writing, none of the organizations mentioned in this article are Intellyx customers. To be considered for a Brain Candy article, email us at pr@intellyx.com.
