How to Build a Compound Annual Growth Rate Model in CRM Analytics
As a Solution Engineer for CRM Analytics for 5 years, I got my start working with the product as a […]
Summer 22
Multi-level Account Hierarchy: Flatten, Aggregate, Join, Transform and Report!
In this use case, we will discuss how to leverage Recipes, hierarchical aggregations, and transformations in CRM Analytics to help
Text Clustering in Einstein Discovery
It is common to build and deploy supervised machine learning models that are generally comprised of tabular datasets with numerical,
OAuth 2.0 Support added for the Snowflake Input Connector
Our team has had a ton of requests for adding more authentication modes to our connector stack and specifically for
Getting the most out of Recipe data preview samples
One of the best features in Data Prep is the ability to preview transformations as you’re building a recipe. You
What’s New in Data Prep for Summer ’22?
The Summer ‘22 release is here! And we’re excited that you get to try out all the new Data Prep
Tables with pages using SAQL offset
Last week while in London I was asked the question if it was possible to have pages on tables as
Next-gen Visual Data Prep: What’s Happening with Dataflows and Recipes?
If you’ve been keeping track, you may have noticed there’s been a lot of investment in each release to enhance
Make Einstein Discovery aware of time with Projected Predictions
The phrase “Time is of the essence“ is used to express urgency in all kinds of fields, from legal to
Create a Segmented Machine Learning Model with Einstein Discovery
It is often the case with machine learning predictive models that you need to create a model for customer data