You Ask, I Answer: Causation Without Correlation?
Vito asks, "Let’s assume we have the joint probability distributions of A and B. In that scenario, is it possible that A causes B, but A and B are not correlated?" This is possible and even probable when you have missing data, especially if the missing data is also...You Ask, I Answer: Marketing Data Science Technical Skills?
Jessica asks, "When it comes to marketing data science, I've got very good business knowledge, but lack of the technical side. any advice?" The first question you have to ask is whether you need the hands-on skills or just knowledge of what's possible. The second...You Ask, I Answer: Determining Sample Sizes for Surveys?
Phil asks, "How do you determine a large enough sample size for things like our survey? I always thought 10% sample would be enough, but you seemed to think that's not true?" It depends on the size of the overall population. The smaller the population, the larger the...You Ask, I Answer: Hypothesis Formation Without Data Snooping in Marketing Data Science?
Jessica asks, "How would you differentiate hypothesis formation and searching for relevant variables WITHOUT "data snooping"?" Data snooping, or more commonly known as curve fitting or data dredging, is when you build a hypothesis to fit the data. The way to avoid...You Ask, I Answer: Setting Social Media Goals for 2020?
Annica asks, "What sort of goals should we be setting for social media in 2020?" Depending on how you use social media - for marketing, sales, customer service, etc. - will govern what kind of goals you set. For marketing, the simplest goals are to forecast, by...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
