There are a few things you need to consider and decide before beginning to create your Einstein Analytics Plus Stories. Data is typically a concern for people, but we will save that for later. However, even before getting your hands dirty and gathering and analyzing data, the most crucial pre-creation task is the requirement to have a clear understanding of what you want to accomplish with your story. I’m sure you have a lot of business questions you’d like to have answered, but if you want predictive intelligence that you can deploy to Salesforce, as was covered in the previous blog, you need to be aware that not all of them are appropriate for the kinds of predictive models Einstein Discovery uses. So let’s take a closer look at the inquiries you can make to the all-knowing oracle known as Einstein Discovery.
Salesforce Einstein Analytics(Tableau CRM) Online Training Demo
All those with knowledge, expertise, and experience with data ingestion procedures, security and access implementations, and dashboard creation are eligible to take the Salesforce Einstein Analytics and Discovery Consultant exam. Additionally, this exam tests your fundamental understanding of and proficiency with designing, developing, and maintaining apps, datasets, dashboards, and stories in Einstein Analytics and Discovery.
timeseries Uses existing data to predict future data points. Your data is processed by Timeseries, which then chooses the forecasting model with the best fit. You can specify the model you want or let timeseries choose the best one. timeseries detects seasonality in your data. When making future predictions about your data, it takes periodic cycles into account. Seasonality can be chosen specifically or you can let timeseries determine what fits best.
Using the computeExpression transformation, you can give a dataset derived fields. The input data source is not used to extract values for derived fields. The values are instead produced by Tableau CRM using a SAQL expression, which can be based on one or more fields from the input data or other derived fields. For instance, you can combine text fields, assign a value to a field, or perform calculations on numeric fields using an expression.
The dataflow is a set of JavaScript Object Notation (JSON) instructions that executes to gather data and produce datasets. The names of the datasets you want to create as well as the objects and fields from which you want to extract data are specified in these instructions. Although the dataflow can also be used to join data together, we will concentrate on its extraction capabilities for the time being.
By default, a Tableau CRM user who has access to a dataset has access to all of the dataset’s records. When using sharing inheritance and security predicates, you can implement row-level security on a dataset to limit access to records. Rows in the dataset are automatically subject to the sharing logic of a Salesforce object thanks to sharing inheritance. A manually chosen filter condition known as a security predicate defines dataset row access.
The field of artificial intelligence known as “natural language processing” (NLP) focuses on using human language to interact with computers. In order to process and analyze large amounts of unstructured data (text, s, videos, etc.), NLP algorithms are used. (in order to decipher its meaning and make it possible for computers to comprehend human language
Building predictive models with Salesforce Einstein allows users to make predictions about the future based on historical data. In order to label data points, it can also be used to create classification models. Last but not least, it can be utilized to create regression models that can be used to forecast numerical values.
Salesforce Shield is a platform for data security that aids businesses in shielding their information from unauthorized access and malicious attacks. It offers several features, including user authentication, data encryption, and activity monitoring. In the event of a data loss, Shield also aids in making sure that data is properly backed up and recoverable.
Businesses can use Salesforce Einstein’s suite of artificial intelligence (AI) tools to automate processes, enhance customer service, and reach more informed decisions. Businesses can use Salesforce Einstein in a variety of ways, such as automating customer service tasks like answering customer questions or making recommendations, improving decision-making by giving recommendations on which products to sell or which leads to pursue, and automating sales tasks like giving recommendations on which products to sell or which leads to pursue.
Businesses can use recognition in a variety of ways. In order to automate their sales process, a company might, for instance, use recognition to automatically pull in s of products from websites and match them to products in their own inventory. Additionally, by automatically classifying and identifying s of customers in a store, recognition can be used to assist businesses in tracking and analyzing customer behavior.
Wave Analytics Interview Questions Part-2
A cutting-edge customer and business analytics platform, Tableau CRM (formerly Einstein Analytics), brings flexible customer analytics to your CRM and is mobile-optimized. It can be used with any data, from any data source, and it will alter how your business responds to important inquiries. You can perform powerful, contextual data exploration using Tableau CRM:
FAQ
What is Salesforce Einstein Analytics?
Salesforce’s cloud-based business intelligence and visualization platform, Einstein Analytics, is made to help you gain understanding from your current data. By examining your Salesforce data and outside data, it also offers forecasts and suggestions.
How do I create a dataflow in Einstein Analytics?
Click the gear icon ( ) in CRM Analytics to design complex datasets. Click Open Data Manager (Legacy). Click the Dataflows & Recipes tab. To create a dataflow from scratch, click Create Dataflow.
When did Salesforce acquire Einstein?
Salesforce acquired the AI provider BeyondCore in 2016, and this became the basis for its Einstein Discovery AI product.
