The article delves into using Couchbase and Splunk to implement Continuous Intelligence for ACME Inc.'s online store, showcasing how to leverage real-time data analytics to enhance decision-making processes. It emphasizes the integration of Couchbase's NoSQL capabilities with Splunk's powerful data analytics tools to create a seamless data flow, enabling the analysis of large datasets and the generation of actionable insights. The process involves generating transaction data, importing it into Couchbase, creating analytics datasets, and then using Splunk to visualize and analyze this data through dashboards and machine learning models. The article highlights the importance of employing traditional data science techniques like regression and clustering for effective digital transformation. It concludes by encouraging readers to experiment with data imports and machine learning insights to optimize their organization's data strategy.