Learning Einstein Analytics: Unlock critical insights with Salesforce Einstein Analytics
暫譯: 學習愛因斯坦分析:利用 Salesforce Einstein Analytics 解鎖關鍵洞察

Santosh Tukaram Chitalkar

  • 出版商: Packt Publishing
  • 出版日期: 2018-01-29
  • 售價: $2,220
  • 貴賓價: 9.5$2,109
  • 語言: 英文
  • 頁數: 242
  • 裝訂: Paperback
  • ISBN: 1788475763
  • ISBN-13: 9781788475761
  • 海外代購書籍(需單獨結帳)

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商品描述

Learn to confidently setup and create app, lenses, dashboards using Salesforce Einstein Analytics.

Key Features

  • Explore Einstein analytics on desktop as well as mobile platforms
  • Turn data into smarter sales with Einstein Analytics for Sales
  • Visualize your data with preloaded as well as customized dashboards

Book Description

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.

What you will learn

  • Create app, lenses, and dashboards using Einstein.
  • Visualize data utilizing all the widgets available with Einstein.
  • Understand Einstein for Sales, Service, and Marketing separately.
  • Use Data monitoring tools to monitor data flow and system jobs.
  • Abstract machine learning constructs and make predictions on events

Who This Book Is For

This book is for data scientists, business users, developers who want to explore business data using the Salesforce Einstein Analytics. Knowledge of the Salesforce platform is required.

Table of Contents

  1. Getting Started with Einstein Analytics
  2. Setting Up Einstein Analytics
  3. Say Hello to Einstein
  4. Diving Deep into Einstein Analytics
  5. Einstein for Sales
  6. Einstein at Your Services
  7. Security and Sharing in Einstein Analytics
  8. Recipe in Einstein
  9. Embedding Einstein Dashboards
  10. Advanced Technologies in Einstein Analytics
  11. Machine Learning and Deep Learning

商品描述(中文翻譯)

學習如何自信地設置和創建應用程式、鏡頭、儀表板,使用 Salesforce Einstein Analytics。

主要特點


  • 在桌面和移動平台上探索 Einstein Analytics

  • 利用 Einstein Analytics for Sales 將數據轉化為更智能的銷售

  • 使用預載和自定義的儀表板可視化您的數據

書籍描述

Salesforce Einstein Analytics,也稱為 Wave Analytics,是一個基於雲的平臺,能夠連接來自多個來源的數據並進行探索,以揭示見解。它使銷售代表、行銷人員和分析師能夠獲得見解,從而使客戶互動更智能,而無需建立數學模型。您將學習如何創建應用程式、鏡頭、儀表板並與其他用戶共享儀表板。

本書首先解釋基本概念,如鏡頭、步驟、度量,並為您設置 Einstein Analytics 平臺。接著,我們將進入創建應用程式的部分,您將學習如何創建數據集、儀表板以及將數據導入 Analytics 的不同方法。然後,我們將分別查看 Einstein 在銷售、服務和行銷方面的應用。在這裡,您將學習如何管理您的銷售管道、理解重要的商業驅動因素並可視化趨勢。您還將學習與數據監控工具和嵌入儀表板相關的功能,包括使用 Lightning、Visualforce 頁面和移動設備。進一步地,您將學習與最近在 Einstein 中的進展相關的高級功能,包括機器學習構造和事件預測。到本書結束時,您將熟練掌握 Einstein Analytics,更快地獲得見解,並更好地理解您的客戶。

您將學到什麼


  • 使用 Einstein 創建應用程式、鏡頭和儀表板。

  • 利用所有可用的部件可視化數據。

  • 分別理解 Einstein 在銷售、服務和行銷中的應用。

  • 使用數據監控工具監控數據流和系統作業。

  • 抽象機器學習構造並對事件進行預測。

本書適合誰

本書適合數據科學家、商業用戶、開發人員,想要使用 Salesforce Einstein Analytics 探索商業數據的人。需要具備 Salesforce 平臺的知識。

目錄


  1. 開始使用 Einstein Analytics

  2. 設置 Einstein Analytics

  3. 向 Einstein 說聲你好

  4. 深入探索 Einstein Analytics

  5. Einstein 在銷售中的應用

  6. Einstein 服務於您

  7. Einstein Analytics 的安全性和共享

  8. Einstein 中的食譜

  9. 嵌入 Einstein 儀表板

  10. Einstein Analytics 中的高級技術

  11. 機器學習和深度學習