Greetings Data Vault power users, In the Data Vault 2.0 architecture, Information Marts hold a crucial role in delivering actionable insights to end-users. While reminiscent of traditional data marts, within Data Vault 2.0, Information Marts are redefined for enhanced practicality. I recently stumbled across a very interesting blog article about different types of information marts: scalefree.com/... In a short summary, they mention six different types of Information Marts: Information Marts: Tailored for business users, these provide insights through dashboards and reports, facilitating decision-making. Metrics Mart: Linked with a Metrics Vault, it extracts insights from EDW log data. Ideal for performance analysis in self-service BI solutions. Error Mart: A repository for records failing hard rules during data loading, aiding data quality management. Interface Mart: Channels data to applications or source systems, facilitating data cleansing within the enterprise data warehouse. Quality Mart: Focuses on reporting bad data, aiding data stewardship and problem resolution. Source Mart: Adheres to source application data models, making it valuable for ad-hoc reporting and serving data scientists and power users. While understanding the concept and value of each type, I honestly admit that I've only seen classic Information Marts and Source Marts in real life yet. That's why I really want to know from you: which types are you typically using? What is your favorite benefit? Happy to read some shared insights!