Industrializing Data Science with Data Analytics Factory Framework

IDC recommends organizations implement a standard framework called Data Analytics Factory (DAF) with the objective of overcoming usual challenges faced by data scientists during the analytics model life cycle, which includes development, training, testing, deployment, and monitoring phases. DAF is all about maximizing business productivity, shortening time to value, and accelerating learning cycles. 

In this white paper, you will learn:

• How Data Science is the front for competitive differentiation
• The benefits and key aspects of Industrializing Data Science
• The introduction and phases of the Data Analytics Factory Framework
• Customer implementation examples and results; and
• Essential guidance for IT organizations on implementation best practices