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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 a company “CRM Test Inc.” which has a complex multi-level account hierarchy in Salesforce without having a holistic view of ... Read Blog
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, categorical, and temporal (date/time) variables. Often though, there may be additional value to be gained by augmenting the model with ... Read Blog
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 Snowflake. OAuth is a standard in the industry and we have chosen to adopt it for adding the next level ... Read Blog
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 can click on any node in the graph to view a preview of the transforms that you created up to ... Read Blog
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 features that we’ve been working on! See a demo of everything that’s new in these short video clips, directly from ... Read Blog
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 this would be helpful for tables with large results. Out of the box, no this is not possible - at ... Read Blog
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 features in Data Prep Recipes, the visual/low-code solution for preparing and transforming your data. If you caught the Summer 22 ... Read Blog
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 medical. In the context of predictive modeling, I like to read it as time being one of the most important ... Read Blog
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 that spans a variety of "segments" in your business. The business objective (outcome variable) that you wish to apply machine ... Read Blog
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