The initiative started by centralizing device data from multiple streams into a PostgreSQL database hosted on AWS. Databricks was introduced to process and compute aggregated metrics across large volumes of real-time data. A key architectural requirement was to ensure that data related to one customer could never be accessed or visualized by another—necessitating a row-level security (RLS) implementation within the BI layer. The team then implemented Qlik Sense dashboards, configured to honor tenant boundaries and privacy standards. These dashboards offered secure, filtered access for customers to view their device insights while internal teams could perform comparative and trend analyses across anonymized data.