What No-Code AI Means for Executives

What Does No-Code AI Mean for Executives?

Unlocked access, for business units, to the power of AI and machine learning. Teams and individuals are able to build their own projects in clicks. All features of data ingestion, data prep, feature engineering, modeling, and report building are automated for the user. 

Let Your Teams Do What They Do Best

Business users know the questions they need answered. When they work with data scientists, their projects can get stuck in queues. When they get picked up, there can be something lost between the business ask the technical execution. Having the business users execute the projects increases productivity and efficiency of getting the needle-moving results.

With business users running their own data science projects, data scientists get freed up to focus on the more complex projects and run across the business.

The Ease of Using Squark’s No-Code AI

Here are the steps your business users will follow when creating a project in Squark: 

1. The business user determines their use case. We recommend starting small if it is your first time working with predictive analytics, but still, goal/revenue impacting.
2. Select the project type. Squark’s platform helps you determine the correct type: 
   • Two possible outcomes? Binary Project
   • Three or more possible outcomes? Multi-Class Project
   • How much? Regression Project
   • How much overtime? Time Series Project
3. Data Ingestion: Squark’s intelligent connectors make getting the data from where it is stored a snap (or a click).
4. Select your target column. You select the column in your historical data that you want Squark to predict for your current data.
5. Squark does the rest! Squark handles all the feature engineering, modeling, testing, and reporting building while you work on another project or have dinner with your family. You’ll receive a notification when it is ready. Small data sets can run in as little as a couple of minutes.

Here are examples of how customers are using Squark:

• Marketing teams are predicting the likelihood of each customer’s response to different offers and using that data to customize their campaigns. 
• Customer Success teams are predicting retention and churn on a per account level and learning what data points influence retention.
• Sales teams are predicting which accounts will purchase additional offerings and targeting their efforts.
• Finance teams are improving their forecasts and learning which data points are the biggest indicators of trends.

Have a use case that you’d like to discuss with our experts? Schedule a call today.