TIBCO's Spotfire platform provides predictive analytics solutions that allow businesses to monitor equipment and performance, improving business outcomes by reducing equipment failure and resource costs. By leveraging embedded IoT sensors, Spotfire analyzes data to predict breakdowns, allowing for timely maintenance scheduling that prevents costly production stops or slowdowns. Proactive maintenance capability enhances asset reliability, with operations teams receiving alerts based on set parameters, enabling corrective actions. The platform also integrates streaming IoT data with data science models and governed reference data to identify potential failures and defects, generating predictive alerts and automated responses. Spotfire's predictive maintenance tool includes a parametric failure model with Weibull curve distribution, supporting confident prediction of maintenance needs. It is a critical component for manufacturing intelligence in the era of Industry 4.0 and the IoT, enhancing uptime and customer satisfaction.