Exploratory

Connect to Salesforce and Stripe data.

Join tables based on Customer ID using the 'Join' step.

Apply the 'Survival Analysis' analytics view to calculate churn probability.

Use 'Random Forest' to identify key churn drivers.

Export the list of high-risk customers to a CSV for the success team.

Import historical sales data from a SQL database.

Use the 'Group By' step to aggregate sales by date and category.

Select 'Time Series Forecasting (Prophet)' from the Analytics menu.

Set 'Growth' to logistic and specify seasonal holidays.

Automate the dashboard refresh weekly via Exploratory Server.

Import Google Analytics 4 and Facebook Ads data.

Normalize UTM parameters using the 'Clean Text' UI tool.

Apply the 'Markov Chain' attribution model from the Analytics tab.

Visualize the attribution weights across the customer journey.

Generate a report highlighting under-performing ad spend.

Import patient biometric data.

Use the 'Summary' tab to detect outliers based on standard deviations.

Apply 'Anomoly Detection' using the Twitter-based algorithm built-in.

Filter out erroneous data points using the 'Filter' step.

Export a clean, reproducible dataset for formal R-based submission.

Import survey data from Typeform or Qualtrics.

Use the 'Tokenize Text' step to break down responses.

Apply 'Sentiment Analysis' using the AFINN or Bing lexicons.

Visualize sentiment trends using a line chart with 'Loess' smoothing.

Identify specific keywords driving negative sentiment using Word Clouds.

Import experiment logs.

Calculate conversion rates for Control and Treatment groups.

Run a 'Bayesian A/B Test' model to determine the probability of one being better.

Check the 'Posterior Distribution' plot to assess the magnitude of the lift.

Publish the findings as an interactive Note for stakeholders.

Import HRIS data (tenure, salary, performance).

Use 'Logistic Regression' to model the 'Left Company' variable.

Evaluate the 'Odds Ratio' to see the impact of salary increases on retention.

Segment risk by department using the 'Facet' feature in charts.

Create a dashboard for HR directors to monitor high-risk segments.