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Continue reading →: A Simple Intro to Bayesian Change Point Analysis
The purpose of this post is to demonstrate change point analysis by stepping through an example of the technique in R presented in Rizzo’s excellent, comprehensive, and very mathy book, Statistical Computing with R, and then showing alternative ways to process this data using the changepoint and bcp packages. Much…
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Continue reading →: What (Really) is a Data Scientist?
What is a data scientist? What makes for a good (or great!) data scientist? It’s been challenging enough to determine what a data scientist really is (several people have proposed ways to look at this). The Guardian (a UK publication) said, however, that a true data scientist is as “rare…
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Continue reading →: Innovation Without Maintenance is (Potentially) Cyberterrorism
On July 8th, Wall Street’s software failed (and the WSJ web site went down). United’s planes were grounded for two hours across the entire US. And this all happened only shortly after China’s stocks mysteriously plummeted. Odd coincidence, or carefully planned coordinated cyberattack? Bloggers say don’t worry… don’t panic. Probably not…
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Quality Tools in Daily Life
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Continue reading →: Quality Tools in Daily LifeThis past month, ASQ asked the Influential Voices: “How do you incorporate quality tools into your daily life?” That’s a topic I’ve covered here often, and from many different perspectives: You can manage your personal budget with Pareto Charts, like my student Andy did You can use approaches from the…
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Continue reading →: The 21st Century Employee in the Age of Empathy
Last year, I explained that I see a revolutionary role for quality as we collectively shift from thinking about organizations not as machines or information flows, but as structures for creating complete and meaningful experiences for everyone involved. To adapt during this shift, we’ll need new models for human resources…
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Continue reading →: What Kentucky Derby Handicapping Can Teach Us About Organizational Metrics
I love horse racing. More specifically, I love betting on the horses. Why? Because it’s a complex exercise in data science, requiring you to integrate (what feels like) hundreds of different kinds of performance measures — and environmental factors (like weather) — to predict which horse will come in first,…
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Continue reading →: Randomly Sample Twitter Followers in R
So yesterday, I set up an #AmazonGiveaway for my new R book at https://giveaway.amazon.com/p/ea32d421d8d7672d — but I had my 10 year old input the number that will determine every nth person who gets the printed copy delivered to them, so that I’d be surprised too when it happened. Well I got surprised today,…
Hello,
I’m Nicole
Since 2008, I’ve been sharing insights and expertise on Digital Transformation & Data Science for Performance Excellence here. As a CxO, I’ve helped orgs build empowered teams, robust programs, and elegant strategies bridging data, analytics, and artificial intelligence (AI)/machine learning (ML)… while building models in R and Python on the side. In 2025, I help leaders drive Quality-Driven Data & AI Strategies and navigate the complex market of data/AI vendors & professional services. Need help sifting through it all? Reach out to inquire – check out my new book that reveal the one thing EVERY organization has been neglecting – Data, Strategy, Culture & Power.
Quality and Innovation 