Three Imperatives for Successfully “Outsourcing” Analytics

4 min read

I’ve been on the service provider side of analytics for my entire professional life. I’ve also been in leadership positions in which I’ve had to evaluate the pros and the cons of getting external analytical resources for one reason or another. Having been on both sides of the matter has given me a solid understanding and appreciation for what makes a successful partnership. Outsourcing for analytics (including data science, AI, machine learning, or whatever your favorite buzz term) has been a topic of discussion for some time. Is it necessary? Does it ever work? Does it make sense? Why would…...

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Michiko Wolcott Michiko is currently the managing partner and principal consultant of Msight Analytics, a management consulting firm specializing in data and analytics. Backed by 20 years of experience in analytical project execution and delivery, she has helped organizations of all sizes in the development of enterprise capability and effectiveness in data and analytics. She has led multi-national analytical consulting practices, with clients and colleagues from across the globe in financial services, media and communications, retail, healthcare, life sciences, public sector, as well as humanitarian response and disaster management, and has spoken at many industry conferences and forums. Her prior responsibilities include serving as the Lead Data Scientist at North Highland and leading the international analytics practice at Equifax as the Vice President of International Analytics. Michiko holds a Master of Science degree in Statistics from Florida State University among other degrees from Florida State University and the Peabody Conservatory of the Johns Hopkins University.

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