To get the most out of this book

Learning Einstein Analytics is for all Salesforce CRM techies who wish to learn this platform. We have written this book keeping beginners in mind, but it is important that you are familiar with Salesforce CRM. Basic concepts and admin knowledge of Salesforce is required.

Einstein Analytics is a cloud-based platform; hence, you only need a system with a good internet connection to get started with this book. The first two chapters of this book explain the basic concepts and terminologies of Einstein Analytics and its setup. In Chapter 3, Say Hello to Einstein, Chapter 4, Diving deep into Einstein Analytics, Chapter 5, Einstein for Sales, and Chapter 6, Einstein at Your Service, the book explains the platform in detail and uses hands-on tutorials to explain how it works. We have taken a few business requirements from a hypothetical organization called Anutosh Infotech and we'll be building sales and service dashboards for that organization. While creating these dashboards, we will go through every relevant concept, feature, and implementation. The last five chapters explain how to build a complex solution in Einstein Analytics and give an overview of the advanced technologies and features provided by the Einstein platform.  

Download the example code files

You can download the example code files for this book from your account at www.packtpub.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

1. Log in or register at www.packtpub.com.
2. Select the SUPPORT tab.
3. Click on Code Downloads & Errata.
4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

• WinRAR/7-Zip for Windows
• Zipeg/iZip/UnRarX for Mac
• 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Learning-Einstein-Analytics. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: http://www.packtpub.com/sites/default/files/downloads/LearningEinsteinAnalytics_ColorImages.pdf.

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Create a report on an account, export it to a CSV file named Account_data.csv, and save it to your local drive."

A block of code is set as follows:

[ "Account.BillingCountry",
         "{{column(Static_Country_1.selection, [\"value\"]).asObject()}}",
         "in"
         ],

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

[default]
exten => s,1,Dial(Zap/1|30)
exten => s,2,Voicemail(u100)
exten => s,102,Voicemail(b100)
exten => i,1,Voicemail(s0)

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Click on Enable Analytics, as shown in the following screenshot."

Warnings or important notes appear like this.

Tips and tricks appear like this.