> ## Documentation Index > Fetch the complete documentation index at: https://docs.jaantonio.com/llms.txt > Use this file to discover all available pages before exploring further. # Analytics overview > Long-term data storage and analytics visibility for your organization. Analytics is Lambda's long-term data store for analytics visibility. Your organization gets a dedicated Postgres database you can query with SQL, Power BI, or any Postgres client — for dashboards, recurring reports, and historical analysis. You connect with a normal host, port, username, and password from Lambda. Day-to-day reporting does not need a custom API. ## What you get * Long-term storage scoped to your organization * A stable schema named `reporting` * Curated business tables for everyday questions * A discovery path for fields that are not yet curated columns * Credentials you create, rotate, and revoke in Lambda ## Who this is for Most report consumers never open SQL. Someone on your team connects Power BI once, publishes a model, and everyone else uses reports. People who already use a database client can connect with the same credentials and run read-only queries against `reporting`. ## Start here Long-term storage, curated tables, and field discovery. Create credentials and open Power BI or any Postgres client. Everyday tables such as `reporting.shipments`. Find values that are not curated columns yet. Build and publish a durable reporting model. Full list of views, columns, and known gaps.