Data

A single source of truth

Modern pipelines and a governed warehouse that bring scattered systems together — so reports agree, and AI has clean data to stand on.

Book a discovery call How it works

Data team reviewing a unified dashboard combining sales and operations data

The problem

Every department has its own numbers. Meetings start with arguing about whose spreadsheet is right, and AI projects stall because the data underneath is not ready.

Sounds familiar?

Two reports for the same metric show different numbers
Analysts spend most of their week preparing data
AI pilots stall at the data access stage

What we build

The working parts, wired into your systems.

Reliable pipelines
Tested, monitored ingestion from CRM, ERP, product, and finance systems on a schedule you can rely on.
Governed warehouse
One modelled layer with agreed definitions, ownership, and access controls for every key metric.
Data quality checks
Freshness and accuracy checks run automatically and alert the owner before anyone is misled.
Dashboards people use
Focused reporting built with the teams who make decisions from it, not for them.

Connects with

Snowflake
Databricks
BigQuery
dbt
Fivetran
Power BI

What changes

TodayWith DataHill

Today: Meetings start by debating whose numbers are right
With DataHill: Everyone works from the same definitions
Today: Analysts clean data by hand every week
With DataHill: Analysts spend their time on analysis
Today: AI use cases wait on data access
With DataHill: AI projects start on clean, governed data

How we deliver it

Weeks 1–3
Discover
Audit sources and reports, agree on core metrics, and design the target architecture.
Weeks 4–10
Build
Stand up pipelines and the warehouse domain by domain, shipping trusted dashboards as we go.
Ongoing
Run
Monitor pipelines and costs, onboard new sources, and keep definitions governed.