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Predictive Analytics in Operations

In this special guest feature, Michelle Odajima, Data Science Program Leader at OSIsoft, talks about applying predictive analytics to the operational space, and provides three basic rules for doing so: first, come up with an objective; second, get good data; third, build a team with data science skills. Michelle has a broad background in science, technology and predictive analytics/data science.

She has worked in numerous industries such as Automotive and Chemicals, Semiconductors, Endocrinology and Pathology, Non-Profits and Hydrology, IT Consulting, Energy and Utilities. Moreover, she has been on both the IT and OT side for companies. With over 15+ years in science, technology and using math to solve problems, she brings deep industrial knowledge of solving problems, growing data science teams, supporting operations, big data and analytics, and enterprise data strategies.

Source: insidebigdata.com
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