ObservedObserver

ObservedObserver is a data-centric software house that concentrates on next-generation business intelligence and augmented analytics, positioning its single flagship product, Kanaries Rath, as an open-source answer to modern self-service BI needs. Built for analysts who want the power of an enterprise-grade platform without vendor lock-in, Rath automates every step from data ingestion to interactive visualization: it wrangles CSV, Excel, Google Sheets, SQL and BigQuery sources, applies AI-driven cleaning and transformation, then generates statistically ranked chart suggestions that users can refine through a drag-and-drop interface. The software embeds augmented-analytics engines that surface unexpected correlations, forecast trends and explain anomalies in natural language, making it equally valuable for quick exploratory work in marketing teams and for building governed dashboards inside larger organizations. Because the project is MIT-licensed, developers can extend it with custom connectors, deploy it on-premise or in a private cloud, and integrate its components into existing data stacks via REST and GraphQL APIs. Typical use cases range from ad-hoc revenue reporting and campaign attribution analysis to supply-chain optimization and public-open-data storytelling. Kanaries Rath is available for free on get.nero.com, where downloads are delivered through trusted Windows package sources such as winget, always installing the latest release and enabling batch installation alongside other applications.