AI & Data Consulting practice

Dashboards your team actually opens.

Getting scattered data into one place, and building BI dashboards designed around the decisions they're meant to support.

Practice line · AI & Data Consulting Format · Project-based Best for · Teams making decisions from spreadsheets or gut feel

Overview

Infrastructure built for a question, not just a chart.

A dashboard nobody opens isn't a data problem, it's a design problem — usually it answers a question nobody's asking. We start from the decision the dashboard needs to support, then build the pipeline and visualisation backward from there.

Typical infrastructure includes BigQuery for warehousing and Looker Studio for visualisation, though the stack is scoped to what you already use where possible.

What you get

What's included.

Data Pipeline Setup

Getting data flowing automatically from your existing tools into one place.

Warehouse Configuration

Setting up a data warehouse (typically BigQuery) sized to your actual data volume.

BI Dashboard Build

Dashboards built around the specific decisions your team needs to make weekly or monthly.

Access & Governance Setup

Role-based access so the right people see the right data, securely.

Frequently asked

Before you book a call.

Do we need a data engineer on staff?+

Not for the initial build — we set up the infrastructure and train your team to maintain reporting day-to-day.

Can this connect to our existing CRM and accounting software?+

In most cases yes, depending on the specific tools — this is confirmed during discovery.

Want to talk through data infrastructure & bi dashboards?

A short discovery call tells us both whether this is the right starting point.

Book a consultation →