COVIDEinsteinry

COVIDEinsteinry Architecture Diagram
Mule Flow - main.xml
Mulesoft Flow - covid-country-dataset-flow
Mulesoft Flow - covid-state-dataset-flow
Salesforce Einstein Analytics Configuration Setup in Mulesoft
Connector Configuration for Upload external data into new data set and start processing
MUNIT Code Coverage
Analytics Studio in Salesforce App Launcher
Salesforce Einstein App: Developers_App
COVID TRACKING Dashboard
Number of Deaths
Number of Hospitalised patients
Number of Negative Cases
Number of Patients in ICU
Number of Patients in Ventilator
Number of Positive Cases
Number of Recovered patients

Inspiration

Currently, people all over the world have been affected by coronavirus disease. COVID-19 was first reported in Wuhan, China, and subsequently spread worldwide and caused many deaths due to unawareness. So, to prevent the number of deaths and to make people aware of the current COVID status in their Country we built this COVIDEinsteinry application.

What it does

It will track the COVID current status of US Country in a Visual representation with the help of Salesforce Einstein Analytics connector using MuleSoft.

How we built it

We have created a Mule Application where we will be calling the REST API which has the Covid daily status of US Country. The fetched data will be sent to the Salesforce Analytics Connector which helps to create a Dataset in an app that is already created in the Salesforce Einstein Analytics Environment. Once the Mulesoft application is executed successfully, datasets will be created. Then by using these datasets, a Dashboard is created in the name “Covid Tracking App” to show a visual representation of Covid Status in US Country in bar charts.

Challenges we ran into

Faced challenges in structuring payload for creating Dataset.
Faced challenges in the identification of errors during upload of Dataset.

Accomplishments that we're proud of

We have followed all the best practices and successfully achieved the desired output. Hopefully, with the help of this application, we can make it done for all other countries in the future.

What we learned

We learned the importance of Mulesoft for integrating Multiple applications.
We learned about Salesforce Analytics Connector, Dataset, Analytics Dashboard.
We learned about the importance of Munit to perform automated unit testing.

What's next for COVIDEinsteinry

We planned to enhance the application by introducing Salesforce Einstein Prediction Builder to predict the upcoming COVID situation in the country.
We planned to send Analytics Dashboard to subscribers from Mulesoft.
Apart from the Visual representation of COVID Status we planned to integrate this Mule application with IoT devices.