Salesforce Einstein Analytics is a self-service analytics application that enables you to make sense of large amounts of data. Manage your datasets, write SAQL queries, and customize dashboards, all programatically
Einstein Analytics overview, features, pricing, customer stories and resources
Get hands-on with Einstein Analytics in these curated tutorials.
In this video, we explore the Einstein Analytics Platform, including APIs, data loading, packaging, and licensing. We will discuss using Einstein Analytics with Lightning Platform, including Visualforce, Lightning, Apex, REST, and more.
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Start your Analytics journey! Set up Einstein Analytics, turn on features and bring data in. Lay the foundation for effective analysis.
In this Trailhead Module, learn how Einstein Analytics can unlock data in your organization.
Learn the basics of Analytics Apps, and how you can create and customize them to empower your users in this Trailhead Module.
Bring your data into Einstein Analytics and make it work for you.
Import a spreadsheet and create Einstein Analytics charts. No code required.
Set up Einstein Analytics and enable features and security.
Use templates and wizards to make magic happen with Einstein Analytics dashboards.
Reference documentation describing how you can access Einstein Analytics datasets and lenses programmatically through REST.
Integrate external data into Einstein Analytics to make the data available for queries from explorer and designer.
Full set of documentation available for Einstein
Documentation on how to customize Einstein Analytics dashboards using the Einstein Analytics Dashboard JSON format.
Use SAQL (Salesforce Analytics Query Language) to access data in Einstein Analytics datasets. Einstein Analytics uses SAQL behind the scenes in lenses, dashboards, and explorer to gather data for visualizations.
Extended metadata (XMD) enables you to customize the formatting of dashboard elements in Einstein Analytics.
Bindings enable interactions among different components in a dashboard.
To upload external data into a Einstein Analytics dataset, make sure that you have prepared your data and metadata files.
Github repository containing a reference implementation of Einstein Analytics External Data API
Review architecture and implementation alternatives for loading data to Einstein Analytics.
PDF E-book describing implementation best practices on how you can build Apps using Custom SAQL.
Learn how to select the correct API for the task at hand, optimize your consumption of API limits, and see how one ISV took an innovative approach to continuously streaming data into the Analytics Cloud.
In this session, we will explore what data is available, demonstrate how easily the data can be imported into Salesforce Einstein Analytics and integrated with your organization's data to develop population and demographic insights.
In this video, we expose techniques to simplify data visualization with time and date elements and do it in the context of Einstein Analytics.
This video explores the process from data collection, applying predictive models, evaluating results and powerful data visualization. We combine data created using predictive analytics with business data and share them via Salesforce Analytics dashboards.
A brief overview of the GA2SW (Google Analytics to Salesforce Einstein Analytics) data loader and see how we've used it to build actionable dashboards
Einstein Analytics provides multiple security tiers to secure your data ranging from controls available at data ingest, application assignment and row-level security. Here are some use cases to deploy security in and around Einstein Analytics.
Explore building custom maps using Einstein Analytics and the Custom Maps feature.
See an example of modifying an Analytics dashboard using Dashboard JSON and SAQL.
Learn to use custom permissions to fine-tune permissions on your Einstein Analytics data.