One beautiful aspect of analytics is your ability to rerun the same analysis over and over again. Once you write the code to do something, you can easily execute the same analysis on different data. Ideally, your analytic team would develop their code so that repeating an analysis with new…

If you aren’t a data analyst, but work in a business that embraces analytics, you might know the feeling of imposter syndrome. You experience Imposter syndrome as a feeling of anxiousness or self-doubt – that somehow you don’t belong even when you are successful. You’re not alone, my friend. This…

When I train business professionals looking to level-up their skills, data quality is a topic that always comes up. They bring it up around the time they start learning the different methods used to clean data for analysis. The more they learn, the more they begin to understand the art…

When I started writing this blog, I made a promise not to turn this into a hardcore data science discussion. I’m not going to break that promise, but today I might bend it a little. Stay with me though, my friend, because I want to pull back the covers on…

I was sitting in a meeting with another manager. She gave her analytic team a set of instructions, some detailed and others somewhat vague. The young analysts across the table nodded and took notes. Then the manager asked the question, “How long will it take you to do this?” Both…

The quality of data is a constraint on every analytic project. As the saying goes – Garbage In, Garbage Out. As part of the planning process for an analysis, you should understand the quality of the available data. In this post, I’ll discuss the characteristics of good data quality, and…