Who is looking after the quality of your analytics?

6 min read

We talk a lot about using analytics to improve the quality of something else. But when was the last time you thought about the quality of the analytics themselves? For many people, unfortunately, this is “never.” And when we do, invariably it’s either too vague or too narrow. Often, there is an implicit assumption: analytics professionals produce high-quality stuff simply because they are technically capable. It doesn’t matter whether it is predictive modeling, designed experiments, classifications, segmentation, or any other product of statistics, advanced analytics, machine learning, data science, or even AI. The challenge is there are so many things…...

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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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