Data, BI & analytics
The reporting layer over ERP, CRM and product data, so leadership stops reconciling three versions of the same figure.
What we do
webbox builds the data and reporting layer over your ERP, CRM, commerce and product systems. Pipelines load the data into a warehouse. A shared data model defines each metric once. Dashboards sit in Power BI, Metabase or inside your own application. Most projects start by working out why two of your current reports disagree. Usually the data is fine, and the reports define the metric differently.
Last updated
One agreed definition per metric, applied everywhereDashboards leadership trusts enough to decide onReporting that does not need a monthly spreadsheetData & Analytics services
BI dashboards & reporting
The numbers, agreed once.
Management and operational dashboards on Power BI, Metabase or Looker Studio. They read from a shared data model, so definitions stay consistent from one dashboard to the next.
Learn more →Data warehouse & pipelines
One place the data lands.
Pipelines that load your data into a warehouse on Postgres, BigQuery or Snowflake, with checks that it is fresh and intact.
Embedded customer analytics
Reporting inside your product.
Analytics your customers use inside your application. Row-level security runs on each query, so customers see only their own data.
Data migration & cleanup
Fix it before you move it.
Duplicate master records merged, formats made consistent and the result checked. Usually done alongside an ERP or CRM migration.
What the work involves
Data pipelines
Data pulled on a schedule or as it happens, from ERP, CRM, commerce, ad platforms and product databases. When a load fails, someone gets an alert.
Warehouse & modeling
A warehouse on Postgres, BigQuery or Snowflake. A data model on top defines each metric once, and reports reuse that definition.
Dashboards
Power BI, Metabase or Looker Studio dashboards built around the decisions your team makes. Fields that feed no decision stay off the page.
Embedded analytics
Reporting your customers see inside your own product. Row-level security is enforced at the query layer, so one customer cannot see another customer's data.
Operational reporting
The daily and weekly reports someone now spends two hours building in a spreadsheet, produced automatically.
Data quality
Checks on freshness, row counts and broken links between tables. A bad field in a source system is caught before it reaches a board pack.
Tech we use
Best-fit industries
Data & Analytics: good to know
Do we need a warehouse, or can we report straight from the ERP?
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