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Learning Einstein Analytics

Learning Einstein Analytics

By : Chitalkar
3.3 (3)
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Learning Einstein Analytics

Learning Einstein Analytics

3.3 (3)
By: Chitalkar

Overview of this book

Salesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users. This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way.
Table of Contents (13 chapters)
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7
Security and Sharing in Einstein Analytics

Diving Deep into Einstein Analytics

In the previous chapter, we created our first dataset and dashboard. We also created our first lens, called Hello Lens, and we started building dashboards. In Hello Dashboard, we added a horizontal bar chart, and a donut chart using chart widgets. Now we understand the components in the widget area and adding lenses to charts. In this chapter, we are going to build a simple summary dashboard, and we will cover the following topics:

  • Quota
  • Dataflow and dataflow scheduling 
  • Data manager and setting
  • Types of dashboard
  • Declarative binding and faceting
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Learning Einstein Analytics
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