Marketing Data Science: Introduction to Data Blending
One of the truths we don’t talk about nearly enough in marketing data science is the need to blend data. There are very few data sources that are a single source of truth by themselves, that need no augmentation or supplementation to provide maximum value. Even...Why Do I Love Data So Much?
Kate asks, “Why do you have such a fixation on data?” This is a more interesting, philosophical question than it might first appear. Yes, I emphasize data a great deal in my work; my company, Trust Insights, is rooted in data-driven marketing. But where...What Personal Data Science Teaches Marketers
A few years ago, there was a big movement called Quantified Self, in which we would apply principles of analytics and data science to our lives with fitness trackers and other apps that would help quantify how we were living. For a variety of reasons – mainly...You Ask, I Answer: Adopting Data-Driven Marketing Strategy?
Kait asks, “How do you suggest to go about to creating a data-driven strategy standard and breaking the “because we’ve always done it this way” mentality?” Strategy is always a sale. Every sale has to answer the question, “What’s in it for...You Ask, I Answer: Data Visualization Courses?
Dasha asks, “I want to take some classes on analytics and visualization skills – what would you recommend?” I’d start by learning the principles of data visualization first. Edward Tufte’s book, The Visualization of Quantitative...AI for Marketers Book
In this all-new, completely-rewritten 2nd Edition of AI for Marketers, learn:
- What AI is and isn't
- 5 practical applications of AI in marketing
- Key questions to ask of any vendor claims about AI
- How to prepare your company and your career for AI
