Data & analytics
From raw signal to decisive numbers: pipelines, warehouses and dashboards your leadership actually opens.
In short
Data & Analytics, at a glance
- Reliable data pipeline development and data warehousing that scales with your data.
- Decision-grade dashboards with metrics everyone agrees on.
- Streaming data for live ops, pricing and personalization.
- Quality, lineage and access controls baked into the platform.
Capabilities
From raw signal to a decision.
Our data & analytics services are engineered end to end: data engineering services, data pipeline development, data warehousing on Snowflake or BigQuery and the BI & dashboard development on top, so every team works from the same trusted numbers.
Data engineering services
Reliable data pipeline development and data warehousing that scales with your data.
Included with every engagement
- Data audit & model
- Production pipelines
- Dashboard suite
- Governance playbook
Investment
Average cost of a data & analytics project.
Every data & analytics engagement is scoped to your sources and stack, not a fixed package. Here's the real range our projects tend to fall into, so you can gauge where yours sits before the first call.
From $15,000
For a data audit and a single production pipeline.
From $50,000
For a full data warehouse with BI & dashboard development on top.
From $140,000
For real-time / streaming analytics layered onto your warehouse.
From $300,000
For an enterprise data platform with governance and lineage built in.
Want the exact cost of your platform?
Tell a senior data engineer about your stack on a free 30-minute call, and you'll walk away with a scoped, itemised quote — not a ballpark.
The dashboard
Dashboards your leadership actually opens.
We design around the questions leaders really ask, so every team works from the same trusted numbers instead of arguing about whose figures are right.
Free 30-minute call with a senior data engineer.
- 01Metrics defined once, agreed everywhere
- 02Batch reporting and streaming for live ops
- 03Quality, lineage and access controls built in
Our process
From raw data to a trusted number.
Six phases from source audit to adoption, so every team works from metrics defined once, not five spreadsheets that disagree.
Data audit & source mapping
We map every data source, its quality and its owner, and agree what 'one source of truth' actually means for your business before any pipeline is built.
Output
Data audit, source-to-metric map
Data & Analytics questions, answered.
Still unsure if Data & Analytics is right for your project? A senior engineer will tell you straight on a free call.
With a data audit and a model everyone agrees on. Our data engineering services cover the layer end to end — ingestion, warehouse, transformation and BI — so teams stop arguing about whose numbers are right.
Modern, well-supported tools like dbt, Snowflake and BigQuery — data warehousing with governance, lineage and access controls that survive an audit. We fit the stack to your scale, not the other way around.
Yes — dbt consulting is often where we start when a team already has a warehouse but transformations are unmanaged: tests, documentation and a real deployment pipeline for the models that run the business.
Yes — real-time / streaming analytics for live ops, dynamic pricing and personalization, alongside the batch reporting most teams start with.
That's the test we design for: decision-grade BI & dashboard development with metrics everyone trusts, built around the questions leaders actually ask — not forty charts nobody opens.
Pairs well with
Built on
Ready to trust your numbers again?
Book a free 30-minute consultation. A senior data engineer will look at where your data stands today and map the shortest path to dashboards your team will actually use.