There's a lot of research coming out now more about kind of custo analytics and what that means. Goglas has been trying to move to the concept of a user, or a concept of a perso. And i think its what you're saying, that if you get it to where you've got some common language, you can have repetable ways of going at generating that analysis. I see prodization as happening on two ends. One is te connected tissue, like is talked about. So instead of doing nou manual joins of and yo, end numbers of tables in your data warehouse. Or instead of no dumping all those intoa sort of solution, where you have a
What IS customer intelligence? What is a customer? Is the customer best understood by breaking the word down into its component parts: "cuss" and "tumor?" Would that be an intelligent thing to do? Will these and related questions some day be answered by self-aware machines? Will any of *these* questions be answered on this episode? Give it a listen and find out!
The mish-mash of companies, products, and miscellany mentioned on this show include: Adobe, Oracle/ATG, SAS Customer Intelligence, Salesforce.com, Scott Brinker (Chief Martec), Domo, Data Studio 360, Tableau, iJento, Netezza, SPSS, Unfrozen Caveman Lawyer, Eight Is Enough, Legend of the Plaid Dragon (and the Slack version), Office Vibe, p-value article on fivethirtyeight.com (and the p-hacking app), and the "AI, Deep Learning, and Machine Learning" video.