Much of the focus of data scientists and/or statisticians in enterprise settings has been on one-off projects and reliance of discrete analytic tools without much governance.
Goals and Objectives
To provide the enterprise with scalable, extensible, yet governed capabilities to support the full analytics lifecycle on an ongoing basis.
Data science workbench to prepare data, built and test models, and managed and govern them over time in a collaborative environment.
Use Case Summary
A governed yet flexible environment for data scientists to collaborate among themselves and with their business and IT colleagues that follows full analytic lifecycle.