Three Ways To Boost Your ROI In Data Science

As companies gear up to spend $3.7 trillion on machine learning, digital transformation and other data-driven projects in 2018, ensuring a return on that sizable investment should be top of mind for anyone in a managerial role.

However, 31% of companies currently using data science- and artificial intelligence-powered solutions are either not tracking ROI or aren’t seeing any. This seems contrary to what we already know: Data-driven businesses perform better than their peers. However, success is not guaranteed, and it’s certainly not a fluke. While leading a discussion group on digital transformation at Corinium’s Chief Data Scientist, USA conference last November, I saw evidence of this in feedback from participants in a variety of data science leadership roles.

Author: Ian Swanson


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