Hiring data scientists: the data problem
Image courtesy of misterbisson Data scientists: many companies want them, but few know how to identify them. A widely-cited 2011 McKinsey report highlights the steep shortage of analytical talent...
View ArticleHow to hire data scientists – free white paper
Check out Bitten Labs’ new white paper on how to repeatably identify top data science talent. The process has been informed by hiring processes at many organizations with effective data science groups,...
View ArticleUber’s newest data visualization is uber misleading
The description of surge pricing on Uber’s website begins with the carefully crafted sentence: “Uber rates increase to ensure reliability when demand cannot be met by the number of drivers on the...
View ArticleReporting versus analytics
“We are drowning in information but starved for knowledge.” - John Naisbitt For the love of statistics, please stop using the words “reporting” and “analytics” interchangeably. Reporting is the display...
View ArticleCRAPOLA design principles for quantitative data
Robin Williams (from her website: “writer. teacher. mom. not the actor”) has developed the widely cited CRAP design principles: Contrast, Repetition, Alignment, and Proximity. These are powerful...
View ArticleThe red and green rule
Image courtesy of auroragov.org Early in my career, I produced many data visualizations for a senior executive. Let’s call him Gordon. Gordon is unabashedly a man of strong convictions. One of his most...
View ArticleThe law of small numbers
Otto von Bismarck Big Mark, a new manager at Statistical Misconception Corporation, recently hired his first ever direct report, Little Mark. Little Mark turned out to be a star contributor. The...
View ArticleSeven ways to avoid the seven month data science itch
Image courtesy of Relationships Unscripted It is a story as old as data science: company has valuable data asset, company hires data scientist, data scientist finds insights, company is thrilled,...
View ArticleAfter Hours Marketing podcast: “The Subtle Differences Between Reporting and...
I was recently interviewed by entrepreneurial B2B digital marketing strategist Greg Allbright for the third episode of his newest podcast, After Hours Marketing. The episode, titled “The Subtle...
View ArticleLearning Machine Learning: Beyond the Hype
Image courtesy of Intersection Consulting Terran Melconian and I recently published a piece on KDNuggets that clarifies some important distinctions between machine learning and data science and...
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