A data warehouse is a central database built for analytics, not daily transactions. It collects data from your apps (CRM, ERP, website, billing), cleans and joins it, and stores history so you can trust one “source of truth” for dashboards and reports.
It’s helpful when reports live in spreadsheets, numbers don’t match across teams, or leaders want KPIs by product, channel, and region in one view. It also helps with auditability, forecasting, and self-service BI.
At Imaga, we design the model, set up pipelines (ETL/ELT), and pick a right-sized stack — BigQuery, Snowflake, Redshift, Postgres, or Airflow. We connect BI tools and add governance, roles, and security.
