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Blog Posts by Bill Franks

The data that you consider pristine and absolutely perfect for its intended use can turn into an absolute mess overnight if the data is used in a different way. While it isn’t common, there are cases where the current uses…

Synthetic data, as the name suggests, isn’t real. Instead, it is artificially generated. When first hearing the term “synthetic data,” it is easy to dismiss it as an unserious concept that couldn’t be useful in practice. However, synthetically generated data…

What could corporations’ analytics maturity and social media influencers have in common? More than you might think! I was emcee for the International Institute for Analytics Symposium in October and one of the panel discussions made the connection between these…

Data products are all the rage these days. At times, there are trends that are more hype than reality. The trend toward data products is not one of them. This blog will discuss what data products are, why they are…

With the difficulty in recruiting today, especially within the analytics and data science space, you need every advantage that you can get. As a result, focusing candidates on a mission-driven opportunity rather than on a task-focused job is an…

You’re interviewing for a job in data science: maybe it’s your first job or maybe it’s a Chief Analytics Officer role. One struggle people have is when to talk salary with the employer. Certainly, this issue isn’t unique to data…

The need to upskill the data and analytics capabilities of both your analytics community and the broader business and operational communities is widely recognized. It is also difficult to determine exactly who should learn what and how to best teach…

I’ve written about and given much thought to ethics and its relationship to analytics and data science. I even worked with O’Reilly Media to compile a book on the topic in 2020. However, ethics remains a concern today; one reason…

When it comes to scaling analytics at a large organization, a lot of focus has been placed historically on successfully creating clean, consistent data that feeds well-defined, consistent analytical processes. This focus was necessary and valuable. However, as data governance…