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Learning Salesforce Einstein

You're reading from   Learning Salesforce Einstein Add artificial intelligence capabilities to your business solutions with Heroku, PredictiveIO, and Force

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787126893
Length 334 pages
Edition 1st Edition
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Author (1):
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Mohit Shrivatsava Mohit Shrivatsava
Author Profile Icon Mohit Shrivatsava
Mohit Shrivatsava
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to AI FREE CHAPTER 2. Role of AI in CRM and Cloud Applications 3. Building Smarter Apps Using PredictionIO and Heroku 4. Product Recommendation Application using PredicitionIO and Salesforce App Cloud 5. Salesforce Einstein Vision 6. Building Applications Using Einstein Vision and Salesforce Force.com Platform 7. Einstein for Analytics Cloud 8. Einstein and Salesforce IoT Cloud Platform 9. Measuring and Testing the Accuracy of Einstein

Using transformations to create dataset

Transformations allow us to combine data from multiple data sources or Salesforce and create a dataset. Transformations in Analytics Cloud are attached to the dataflow file. The following are some of the transformations that are currently supported. With transformations, you can manipulate the data before it is registered as a dataset. In Salesforce, the sales data is represented by the opportunity object, the prospects are leads, and a company is an account. For most of the section, we will be assuming the dataset is from Salesforce and one of these objects to demonstrate the power of transformations.

The sfdcDigest transformation

The sfdcDigest transformation is used to extract data...

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