Book Image

Learning Einstein Analytics

By : Santosh Tukaram Chitalkar
Book Image

Learning Einstein Analytics

By: Santosh Tukaram 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 (19 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
7
Security and Sharing in Einstein Analytics
Index

Summary


Machine learning, deep learning, and NLP are integral parts of the AI. This can help us with making predictions, sentiment analysis, and pattern reorganizations to understand customer needs. Einstein Vision and Einstein Language help the user understand the customer's sentiments and the intent of their text from email, chats, and social media platforms.

We started this book with an introduction to Einstein Analytics and are finishing with machine learning and deep learning. I hope you enjoyed this journey of learning Einstein Analytics. In this book, we learned about basic concepts and terminologies, lenses, and creating dashboards. We explored data recipes, XMD, and embedding into multiple environments. In this chapter, we took an overview of both machine learning and deep learning. The idea of is to combine business intelligence with AI to get data insights and help customers. I wish you luck on your journey to Einstein Analytics and your career.