In my experience, using Tableau for geospatial analysis has been a game-changer. By combining geographical data with business data, we were able to create interactive maps and heat maps that revealed patterns and trends. This helped us optimize our store locations, target specific regions for marketing campaigns, and identify areas for expansion.

One creative use case I came across was using Tableau to analyze and visualize customer journey data. By connecting different data sources such as CRM, web analytics, and customer feedback surveys, we were able to map out the entire customer journey and identify pain points and opportunities for improvement.

I've seen Tableau being used for real-time monitoring of production processes. By connecting Tableau with live data feeds from sensors and production machinery, we were able to create real-time dashboards that showed key performance indicators, production rates, and equipment status. This allowed us to identify and address issues promptly.

Another interesting use case was using Tableau for predictive analytics. We built predictive models using machine learning algorithms and integrated them with Tableau. This allowed us to make data-driven predictions and visualize the outcomes in easy-to-understand dashboards, providing valuable insights for decision-making.

I've used Tableau to create interactive reporting dashboards for social media analysis. We collected data from various social media platforms and used Tableau's mapping and filtering capabilities to visualize trends, sentiment analysis, and engagement metrics. This helped us track our social media performance and optimize our strategies.