The phrase “Time is of the essence“ is used to express urgency in all kinds of fields, from legal to medical. In the context of predictive modeling, I like to read it as time being one of the most important concepts to consider. Unfortunately, though, that concept of time is often overlooked. Simply put, what ...
It is often the case with machine learning predictive models that you need to create a model for customer data that spans a variety of “segments” in your business. The business objective (outcome variable) that you wish to apply machine learning may actually be exactly the same across all these segments – even though the segments themselves ...
Are you new to CRM Analytics (CRMA)? Or did you start your CRMA journey long ago and want to start using Recipes instead of Dataflows? Check out the new Recipe-based CRM Analytics Templates to get started! Recipes are the new way to create datasets in CRMA with many features supporting Developer Productivity. Since the Winter ...
It was four years ago that I wrote about a complete rewrite of the Query Engine powering dashboards and insights at the speed of light for all CRM Analytics customers. Every time a CRM Analytics customer loads a dashboard or explores a dataset, our in-memory engine, powered by our proprietary columnar store, retrieves the answer at sub-second ...
Bindings aka interactions is a popular topic, probably because they are so powerful. However, people also find it a bit difficult to approach. I’ve in several blogs and webinars covered this topic in great detail and thought it would be good to have a one-stop for getting to understand bindings. Note: Find the official binding ...
I’ve previously in great detail covered bindings aka interactions for compact and SAQL queries. This included data selection function, data serialization functions, and data manipulations. As CRM Analytics continues to evolve with each release we get new additions. With the introduction of Salesforce Direct, Snowflake Direct, and SQL query support more power and flexibility have ...
Do you love how simple it is to join, cleanse, and enrich your data using Data Prep Recipes, and wish you can transform all of your TCRM dataflows to recipes? But there are just too many of them and you don’t have time for all that work? Even more, perhaps you have these massive, spaghetti-looking ...
