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Salesforce Lightning Platform Enterprise Architecture

You're reading from   Salesforce Lightning Platform Enterprise Architecture Architect and deliver packaged applications that cater to enterprise business needs

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781789956719
Length 646 pages
Edition 3rd Edition
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Author (1):
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Andrew Fawcett Andrew Fawcett
Author Profile Icon Andrew Fawcett
Andrew Fawcett
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Table of Contents (17) Chapters Close

Preface 1. Building and Publishing Your Application FREE CHAPTER 2. Leveraging Platform Features 3. Application Storage 4. Apex Execution and Separation of Concerns 5. Application Service Layer 6. Application Domain Layer 7. Application Selector Layer 8. Building User Interfaces 9. User Interfaces with Lightning Framework 10. Providing Integration and Extensibility 11. Asynchronous Processing and Big Data Volumes 12. Unit Testing 13. Source Control and Continuous Integration 14. Integrating with External Services 15. Adding AI with Einstein 16. Other Books You May Enjoy

Understanding Einstein Discovery

Einstein Discovery uses AI algorithms to make observations (or insights) about the datasets loaded into Einstein Analytics. To get started, you define a story that begins by asking a simple question—What is it you want to maximize or minimize?—because there can be many ways to achieve this goal. Einstein Discovery is different from Einstein Prediction Builder, which only gives one prediction and does not explain why it has reached its conclusion.

As with Einstein Prediction Builder, you start by choosing a single field that is the sole focus of your goal; this is known as the outcome measure field. This has to be a numeric field, for example, the Amount field on the Opportunity object. The question behind your goal would then be—How do I increase the size of my opportunities? Next, you select influencer...

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