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Learning Einstein Analytics
Thisbookisfordatascientists,businessusers,developerswhowanttoexplorebusinessdatausingtheSalesforceEinsteinAnalytics.KnowledgeoftheSalesforceplatformisrequired.
目錄(196章)
倒序
- coverpage
- Title Page
- Dedication
- Packt Upsell
- Why subscribe?
- PacktPub.com
- Contributors
- About the author
- About the reviewer
- Packt is searching for authors like you
- Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Download the example code files
- Download the color images
- Conventions used
- Get in touch
- Reviews
- Getting Started with Einstein Analytics
- Einstein Analytics
- Introduction to Einstein Analytics
- Terminologies in Einstein Analytics
- Concepts - terminologies
- Datasets
- Measures
- Dimensions
- Dates
- Dataset builder
- Lenses
- Visualizations
- Dashboards
- Designers
- Dashboard JSON
- Explorer
- Apps
- Transformation
- SAQL
- Predicate
- Metadata files
- Dataflow
- Dataflow jobs
- Summary
- Setting Up Einstein Analytics
- The Einstein platform setup process
- Enabling Analytics
- User types
- Creating permission sets
- Assigning a Einstein Analytics permission set to users
- Einstein limits
- Summary
- Say Hello to Einstein
- Data preparation
- Creating your first dataset
- Updating datasets
- Creating your first dashboard
- Creating lenses
- Creating your first lens
- Adding lenses to dashboards
- Creating a Bar chart
- The Donut charts
- Compare Table
- Stacked Bar chart
- Dashboard customization
- Creating your first Einstein Analytics application
- Set Smart Notification
- Keyboard shortcuts for Wave dashboards and lenses
- Summary
- Diving Deep into Einstein Analytics
- Quota dataflow and data manager
- Creating a quota dataset
- Dataflows in Einstein Analytics
- Dataflow
- Transformations
- augment
- sfdcDigest
- sfdcRegister
- Required permissions
- Configuring a dataflow
- Running a dataflow
- Scheduling the dataflow
- Einstein dashboards
- Differences between Wave Dashboard Designer and Classic Designer
- Creating a dashboard using Wave Dashboard Designer
- The General option under LAYOUT settings
- Displaying the top 10 opportunities in the Bar chart
- Donut charts for the top five opportunity owners
- Adding numbers for KPI
- Closed Won and Closed Lost opportunity amounts
- Listing widgets by Opportunity Type Role Name and Opportunity Owner
- Owner Role Name and Opportunity Owner lists
- The Range filter widget
- What is faceting?
- Connecting datasources
- Setting initial values to filters
- Creating a dashboard using Classic Designer
- Creating your first chart in Classic Designer
- Donut charts for Opportunities by Industry
- Funnel chart for Opportunities by Stage
- Converting your dashboard to a Wave Dashboard Designer
- Summary
- Einstein for Sales
- Executive dashboard for a sales team
- Expected revenue KPIs
- Actual revenue earned
- The static step
- Bindings in Einstein
- Selection binding
- Data selection functions
- Data serialization functions
- Result binding
- Formatting derived measures or fields
- Funnel charts for Opportunities by Stage
- Sales Cloud Einstein
- Setting up Sales Cloud Einstein
- Creating a permission set
- Assigning permission sets to users
- The Sales Analytics Apps license
- Creating a Sales Analytics App
- Summary
- Einstein at Your Service
- Service dashboards
- Customer service dashboard – VP
- Dashboards and lenses
- Creating list filters
- Static steps for country
- Map chart for BillingCountry
- Fine-tuning maps using map properties
- The BillingCountry and BillingState tables
- Connecting static steps as filters to the map and table
- Adding key matrics to the dashboard using a Number widget
- The Timeline chart for case count by AccountSources
- Broadcast faceting
- Optimizing dashboard performance
- Einstein custom actions
- What is a Salesforce action?
- Summary
- Security and Sharing in Einstein Analytics
- Einstein Security
- Salesforce data security
- Sharing mechanism in Einstein
- Mass-sharing the application
- Row-level security
- Security predicates for the record owner
- Summary
- Recipe in Einstein
- Dataset recipe
- What is a data recipe?
- Creating a recipe
- Running a recipe
- Adding data
- The column profile option
- The ATTRIBUTES tab
- The NAVIGATOR tab
- Additional transformation suggestions
- The bucket field
- The formula field
- The scheduling recipe
- Exporting datasets using datasetUtils
- Summary
- Embedding Einstein Dashboards
- Embedding dashboards
- Embedding dashboards on the detail page in Salesforce Classic
- Embedding the dashboard in Lightning
- Lightning page attributes in embedding a dashboard
- Embedding the dashboard in Visualforce Pages
- Embedding dashboards to websites and web applications
- Embedding and sharing dashboards in communities
- Enabling Communities
- Enabling Analytics for Communities
- Embedding dashboards using Community Builder or Visualforce Pages
- The Enable sharing with Communities option
- Summary
- Advanced Technologies in Einstein Analytics
- Salesforce Analytics Query Language
- Using SAQL
- Using foreach in SAQL
- Using grouping in SAQL
- Using filters in SAQL
- Using functions in SAQL
- Extended metadata in Analytics
- Downloading the XMD for the dataset
- Configuring XMD
- Uploading XMD in the dataset
- Dashboard JSON in Analytics
- Summary
- Machine Learning and Deep Learning
- AI in Einstein Analytics
- Machine learning
- Deep learning
- Natural-language processing
- Einstein Intent
- Einstein Sentiment
- Summary
- Other Books You May Enjoy
- Leave a review - let other readers know what you think 更新時間：2021-06-30 19:29:30
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