Many organizations face challenges with traditional business intelligence (BI) systems, which often result in delayed insights due to data arriving in batches and being processed in silos. This delay can lead to missed opportunities and reduced competitiveness in fast-paced markets. Event-driven workflows, powered by real-time data streaming, offer a solution by enabling immediate, automated responses to events without the need for manual intervention. These workflows leverage technologies such as Apache Kafka and Apache Flink to ensure scalability, fault tolerance, and accurate data processing, allowing businesses to act quickly and efficiently. Real-world applications of event-driven workflows include fraud detection, customer churn prevention, inventory optimization, and market alerts, which have demonstrated significant operational improvements and cost savings for organizations like Michelin and Citizens Bank. By using Confluent Cloud, companies can further enhance their data streaming capabilities, ensuring they remain agile and responsive in dynamic environments.