Projects


Creating a New Project

In order to create a new project under the designated workspace click the CREATE PROJECT and provide a unique name.

Project Options

Once a project is being created you can obtain the options available for the projects.
On the edge of the project, click the button to bring down the dropdown menu containing all the options for a project.


  • Connect: To upload or import a dataset please select this option.
  • Delete: To delete the selected project select this option.
  • Rename: This option can be used to rename a project.
  • Move To: To transfer a project from and to another workspace.

Project Types

There are 3 types of projects that are currently available. Of these three Churn Prediction(LINK) and Product Recommendations(LINK) are predefined template style projects whereas Custom Prediction(LINK) is a user-defined custom project. These templates can be chosen while creating a new project.

Churn Prediction

Churn Prediction ready project can be created by choosing the Churn Prediction while creating a new project.


In order to obtain churn predictions by sticking to the template, users must have Sales data whereas Products, Customers, and Visitors’ data are optional. Upload/Connect your data using the suitable from the various choices available

If not sure of what data to upload/connect please feel free to download the pre-uploaded data for churn predictions by clicking the Demo Data button. This will help the users to determine what sort of data is required to perform churn predictions. And for observing what sort of results would this template generate users can click on the Demo Connect button. This way the Churn Predictions will be made using the pre-uploaded demo data.

Churn prediction - connect data
Before proceeding to analytics a few notes has to be made:

Churn prediction connect
  • Churn Type: If the data uploaded has seasonal effects then the seasonal option must be chosen and vice versa.

  • Churn Definition: One thing to notice and take into account is the churn definition. Churn Definition is the time-period for the inactive customers/users to be considered as Churn. For instance, a company might consider 3 months of inactiveness before considering the customers/users as Churn. This definition will definitely vary from business to business.

Once the churn definition is set clicking the Explore button will handle all the data pre-processing and proceed to the Churn Dashboard which is being explained here(LINK).

Product Recommendation

Product Recommendation ready project can be created by choosing the Product Recommendation while creating a new project.

Project Type - Product Recommendations
In order to obtain Product Recommendation by sticking to the template, users must have Sales data and Product data whereas Customers, and Visitors’ data are optional. Upload/Connect your data using the suitable from the various choices available.

If not sure of what data to upload/connect please feel free to download the pre-uploaded data for churn predictions by clicking the Demo Data button. This will help the users to determine what sort of data is required to perform churn predictions. And for observing what sort of results would this template generate users can click on the Demo Connect button. This way the Churn Predictions will be made using the pre-uploaded demo data.

Churn prediction - connect data
Before proceeding to analytics a few notes has to be made about Recommended By Options:

Product recommendations - connect data
  • Product Category: Predict and obtain the product recommendations on the basis of Product Categories. For instance, obtain 5 products for each customer for each product category.

  • Sales Channel: Predict and obtain the product recommendations on the basis of Sales Channel. For instance, obtain 5 products for each customer for each sales channel (Website, App etc)

  • Sales Payment Type: Predict and obtain the product recommendations on the basis of Sales Payment Type. For instance, obtain 5 products for each customer for each of the different payment types (Online Card, Pay On Door, Virtual Cards, Paypal etc)

  • Sales Shipping Type: Predict and obtain the product recommendations on the basis of Sales Shipping Type. For instance, obtain 5 products for each customer for each of the different shipping types (Standard Shipping, Express Shipping, Same Day Delivery etc)

Clicking the Explore button will handle all the data pre-processing and proceed to the Product Recommendations Dashboard which is being explained here (LINK).