Reporting automation that ends the weekly spreadsheet scramble

Reporting automation replaces the weekly routine of exporting, pasting and reformatting with pipelines that do it for you. Nuevexa builds it done-for-you in four parts: pipelines that pull, clean and transform data from every source into one layer; dashboards on top of it; scheduled delivery of weekly, monthly and ad hoc reports; and alerts when a metric moves outside a defined threshold.

It is for businesses with 10 to 200 staff whose finance, marketing, ops or leadership teams spend hours each week compiling reports from platform exports. It also fits teams that already have dashboards but do not trust them because the data is inconsistent or out of date.

We build dashboards in Looker Studio (formerly Google Data Studio), Looker, Metabase, or a custom front end when none of them fits. Pipelines are built with Make or n8n and feed from the platforms you already run, including BigQuery, Google Sheets, HubSpot, Shopify and Stripe.

A first build usually takes 2 to 4 weeks. It follows five steps: define the metrics, map the data sources, build the pipelines, design the dashboards, then automate delivery and alerts.

Scope and price are agreed before the build starts, and the first build is fixed-scope. Scoping starts with the metrics that actually drive decisions and the sources that feed them, so vanity metrics are left out before anything is built.

You do. The BI tool, the automation platform and the data sources run in accounts registered to you, so the reporting keeps working whether or not Nuevexa stays involved.

Reports and dashboards run on schedule, and you can maintain them yourself or move onto an optional managed plan covering monitoring, fixes and a monthly review. Pipelines are built with error handling, alerting and retry logic, so a source that changes its API fails loudly rather than leaving a dashboard that looks fine and is quietly wrong.

No. Data quality issues are surfaced and resolved during source mapping, before pipelines are built, rather than discovered in production. Every platform feeding your reporting is documented first: where the data lives, its quality, how it needs to be transformed, and how often it changes.

Both. Stakeholders get a live dashboard rather than a static attachment, and scheduled reports are still generated and distributed automatically to the people who want them in their inbox.

Integration connects your systems so the data is clean and current, while reporting automation turns that data into pipelines, dashboards and alerts. Clean, connected data is the foundation for reliable reporting, which is why the two are often combined.