In the article, Morten Ingebrigtsen provides a detailed guide on using Elasticsearch and Kibana for business intelligence by analyzing real-world Twitter data. The process involves setting up an Elasticsearch cluster using the hosted service, formerly known as Found, now Elastic Cloud, where Twitter data is indexed and stored. The data transfer from Twitter to Elasticsearch is facilitated by Zapier, an online service that connects apps via their public APIs. Kibana, which serves as a frontend for Elasticsearch, is then configured to create a dashboard that visualizes and analyzes the data, allowing users to explore trends, tweet history, user activity, and retweet characteristics. The guide emphasizes the use of HTTPS for secure data transmission and suggests configuring access controls for data privacy. Although it touches on only some of Kibana's capabilities, the article provides foundational knowledge for creating custom dashboards for data analysis, highlighting the utility of Zapier in integrating disparate applications.