Data rich, insight poor companies
Consolidate sources, model them sensibly and get answers people trust.
Expertise
Data Science
Turn raw data into a strategic asset with modern warehouses, pipelines and dashboards.
- Senior engineers from kickoff to ops
- Production tested patterns
- Long term support included
- Warehouses Snowflake · BigQuery · Redshift
- Pipelines dbt · Airflow · Fivetran · Kafka
- BI Looker · Power BI · Metabase
- Real time Sub second streaming insight
Overview
What we do, in plain English.
Most companies are data rich and insight poor. We design data platforms that consolidate sources, model them sensibly and put trustworthy answers in front of the people who make decisions.
Quick wins we deliver
- Data warehousing
- ETL/ELT pipelines
- BI dashboards
- Real time analytics
Who it's for
The teams we partner with on data science.
If any of these sound like you, the conversation starts well.
Operators modernising reporting
Move from spreadsheets to a governed warehouse and BI layer.
Teams needing real time visibility
Streaming pipelines for sub second insight on operations or fraud.
Capabilities
Where we add the most value.
A focused set of capabilities, each one battle tested in production.
Modern data warehousing
Snowflake, BigQuery and Redshift architectures designed for performance and predictable cost.
ETL & ELT pipelines
Reliable ingest from databases, SaaS tools and event streams with lineage and tests baked in.
Analytics & BI
Curated dashboards, semantic layers and metric definitions everyone can trust and reuse.
Real time analytics
Streaming architectures for sub second insight on user behaviour, operations or fraud.
Data governance
Cataloguing, access controls and quality monitoring that scale with your team.
Why teams choose NerdHerd
What you get with us that you don't get elsewhere.
Trustworthy numbers, by default
Cataloguing, lineage and tests baked into every pipeline.
Platforms that scale economically
Snowflake, BigQuery and Redshift architectures designed for predictable cost.
Self service for the long term
Curated semantic layers so the team can answer their own questions.
How we work
A clear path from idea to production.
Four phases, no surprises, designed so you can see progress every step of the way.
-
01
Audit your sources, definitions and consumers
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02
Build the warehouse foundation and core models first
-
03
Layer on dashboards and self service exploration
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04
Govern and grow as new domains come online
Deliverables
What you receive at the end.
A short, honest list of the artefacts a typical engagement leaves behind.
- Data warehouse with core dimensional models
- ETL/ELT pipelines with lineage and tests
- Curated dashboards and metric definitions
- Documentation, governance and team enablement
Related expertise
Other disciplines that pair well.
Cloud Solutions
Architect, migrate and operate workloads on AWS, Azure and GCP with confidence.
Learn moreAI & Machine Learning
Production ready ML systems, generative AI assistants, and data driven automations.
Learn moreDevOps Services
Automated CI/CD, infrastructure as code and observability that ship faster, safer.
Learn moreReady to talk data science?
Pick the path that fits, a tailored assessment, a written brief, or a no commitment chat with a senior engineer.