Data: It takes a village, but the buck has to stop somewhere
4 min read
I’ve said many times: too often, an existing function implicitly assumes data responsibilities in organizations that struggle with data management (for example, in this post here). Usually, this is either the technology function or the analytics function, which only reluctantly takes it on. I mean “organization” rather loosely. At the fundamental level, this applies even to the entire information services profession; the idea is still the same. Also, as usual, I mean “analytics” broadly to include applied statistics, data science, business intelligence, machine learning, AI, business analytics, etc. So, exactly how does this misalignment of responsibilities happen? Scenario 1: The…...
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.