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Blog Posts by Bill Franks

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…

It’s no secret that one COVID trend that will remain is that of at least partial remote work arrangements for many professionals. In recent months, there has been a push for employees, including analytics and data science teams, to come…

Delivering an effective data-driven presentation to a live audience isn’t the same as discussing technical details with peers or compiling a written document. This is especially true when, as is often the case, the presentation is for a largely nontechnical…

Every large company wants and needs scalable analytics. That’s always been the case. It’s also always been the case that it is a mighty struggle to achieve the scale required. As new technologies and performance enhancements become available, the volume…

Governance of data and related analytical processes isn’t something that most people get excited about. In fact, many people dread the idea of working under – or even discussing – formal governance policies. However, with some slight changes in thinking…

A significant amount of both media attention and venture capital money has recently been given to low-code and no-code tools that focus on the areas of analytics, data science, and artificial intelligence. This blog will review the value propositions of…

While many aspects of our lives haven’t fully returned to the pre-COVID-19 normal yet, the analytics and data science job market is perhaps even stronger now than it was two years ago. Not only are a lot of jobs being…

After a long, difficult analytical project is completed, how you deliver and position those results is as critical to success as all of the work done to get to the results. I’ve written in the past about not saying too…

I’ve written in the past about how fuzzy the line between “good” and “evil” data science and artificial intelligence (AI) can be. Ethical issues arise with AI that are neither clear cut nor easy to navigate. One of the popular…