Einstein CONSULTANT STUDY GUIDE

Given data sources, use Data Manager to extract and load the data into the Einstein Analytics application to create datasets.  Describe how the Salesforce platform features map to the Model-View-Controller (MVC) pattern. 

• Create and Run More Dataflows,
• Bring Data into Analytics and Track Usage with the Flow Indicator

Given business needs and consolidated data, implement refreshes, data sync (replication), and/or recipes to appropriately solve the basic business need. Identify the common scenarios for extending an application's capabilities using the AppExchange.

• Avoid Data Drift with Periodic Full Sync
• Sync Salesforce Data Incrementally in Data Sync

Given a situation, demonstrate knowledge of what can be accomplished with the Einstein Analytics API

• Analytics External Data API Developer Guide 

Given a scenario, use Einstein Analytics to design a solution that accommodates dataflow limits.

• Manage Datasets
• Data Integration Guide

Given governance and Einstein Analytics asset security requirements, implement necessary security settings including users, groups, and profiles.

• Manage and Share Einstein Analytics in Apps

Given row-based security requirements and security predicates, implement the appropriate dataset security settings.

• Salesforce Sharing Inheritance for Datasets 

Implement App sharing based on user, role, and group requirements.

• Predicate Expression Syntax for Datasets
• Row-Level Security for Datasets

Using change management strategies, manage migration from sandbox to production orgs.

• Set Up the Einstein Analytics Platform
• Deploy Einstein Analytics Templates

Given user requirements or ease of use strategies, manage dataset extended metadata (XMD) by affecting labels, values, and colors.

• Analytics Templates Developer Guide 
• Einstein Analytics Encryption
• Deploy Your Changes

Given a scenario, improve dashboard performance by restructuring the dataset and/or data using lenses, pages, and filters.

• Analytics Migration, Packaging, and Distribution
• Einstein Analytics Limits

Given business and access requirements, enable Einstein Analytics, options, and access as expected.

• Avoid Data Drift with Periodic Full Sync
• Sync Salesforce Data Incrementally in Data Sync

Given a customer situation, determine and define their dashboarding needs.

• Analytics Lookbook 

Given customer requirements, create meaningful and relevant dashboards through the application of user experience (UX) design principles and Einstein Analytics best practices.

• Best Practices for Building Your Own Analytics Dashboard 

Given business requirements, customize existing Einstein Analytics template apps to meet the business needs.

• Einstein Analytics Tempates

Given business requirements, define lens visualizations such as charts to use and dimensions and measures to display.

• Analytics Extended Metadata (XMD) Reference
• Run Your Dashboards Faster with the Dashboard Inspector

Given customer business requirements, develop selection and results bindings with static queries.

• Explore and Visualize Your Data in Einstein Analytics
• Build Einstein Analytics Dashboards

Given business expectations, create a regression time series.

• Progressive Disclosure
• Embed and Customize Einstein Analytics

Given customer requirements, develop dynamic calculations using compare tables.

• Analytics Bindings Developer Guide
• Analytics REST Query Resource
• Analytics SAQL Reference 

Given business requirements that are beyond the standard user interface (UI), use Salesforce Analytics Query Language (SAQL) to build lenses, configure joins, or connect data sources.

• Wave Funnel Powered by Custom SAQL
• Timeseries SAQL Statement

Given a dataset, use Einstein Discovery to prepare data for story output by accessing data and adjusting outputs.

•  Explore Stories 

Given initial customer expectations, analyze the story results and determine suggested improvements that can be presented to the customer.

• View Model Metrics 

Given derived results and insights, adjust data parameters, add/remove data, and rerun story as needed.

• Einstein Discovery Limits
• Optimize Data for Predictive Analytics 

Describe the process to perform writebacks to Salesforce objects.

• Display Einstein Discovery Predictions in a Salesforce Object
• Improve Your Einstein Discovery Models by Investigating Their Metrics and Performance