Quickstart guide

Head over to the Platform and follow the prompts to create an account. You’ll be allocated US$10 worth of initial credits and your account will be pre-loaded with some sample data.

Once you’ve created your account, head to the Team page and invite your team. They’ll receive an email explaining how to get started.

To understand who we should allocate safety equipment to, we’ll need to explore the key differences between the passengers who survived and those who didn’t.

We could go about this by spending a few hours manually looking at the data and trying to spot the differences, or we could use AI-driven analytics to rapidly explore the data and highlight some of the key differences using descriptive statistics.

Head to the homepage on the TrueState platform and select the “Data Analyst” agent from the dropdown menu, add the Titanic Passenger List dataset to context and add the following prompt in the chat field:

Help me understand the key differences between the passengers who survived and those who didn't in the Titanic disaster.

Hit Enter and the agent will begin answering the question for you, showing results and charts as it goes.

For more details on best-practices with exploratory analytics, see our Exploratory Analytics guide.

Now that we’ve got a better understanding of the data, we can create a dashboard to help us make a decision on who to allocate safety equipment to.

Head to the Dashboards section, create a new dashboards, add the Titanic Passenger List dataset to context and submit the following prompt to the dashboard assistant:

Create a dashboard to help us understand the key differences between the passengers who survived and those who didn't in the Titanic disaster.

Hit Enter and the dashboard assistant will begin building the dashboard for you.

Once complete, share the dashboard with your team using the URL.

For more details on creating and using dashboards, see our Dashboards guide.

So we’ve worked with the data analyst to understand the data a little better, but this is really just a descriptive analysis.

Truly best-practice analytics would see us build a predictive model to predict the survivors. But that’s pretty time consuming and we’ve got a deadline to meet so we’ll use the Data Scientist agent on the TrueState platform to build a model for us.

That way once we get the passenger list for the second voyage, we can use the model to predict the survivors and allocate safety equipment accordingly.

Head to the homepage on the TrueState platform and select the “Data Scientist” agent from the dropdown menu. Add the following prompt:

Help me build a predictive model to predict the survivors in the Titanic disaster. Use the data from the first voyage.

The agent will ask you a few clarifying questions and present you with a task brief, confirming the approach it will take to building the model.

Hit Enter and the agent will begin building the model for you. To follow the progress of the agent, head to the Tasks page and click on the latest task.

For more details on best-practices with predictive modelling, see our Predictive Analytics guide.