Our Services

Data Engineering & Business Intelligence

Data pipelines, cloud warehousing, and dashboards that turn scattered data into decisions — not another report nobody reads.

The Challenge

Your data lives in a dozen different systems. Sales numbers come from Salesforce, product metrics from Mixpanel, financial data from QuickBooks, and customer feedback from Zendesk.

Getting a single view of your business means someone spends half their week pulling data into spreadsheets. By the time the report is ready, the decisions it should inform have already been made on gut feeling.

What We Do

We build data pipelines that pull from your scattered sources, transform and clean the data, load it into a modern warehouse, and surface insights through dashboards your team will actually use.

Power BI, Tableau, Looker, or custom — we build the visualisation layer that matches how your team makes decisions. No vanity metrics, no reports that get ignored.

Data Pipeline Development

ETL/ELT pipelines using Airflow, dbt, and Spark that reliably move data from source systems to your warehouse.

Cloud Data Warehousing

Snowflake, BigQuery, and Redshift implementations with proper modelling, partitioning, and cost management.

Dashboard & Reporting

Power BI, Tableau, and Looker dashboards designed around your actual decision-making workflows.

Data Quality & Governance

Automated testing, monitoring, and alerting that catches data issues before they reach your dashboards.

Analytics Engineering

dbt models, metrics layers, and semantic definitions that give your team a single source of truth.

Data Migration

Moving from legacy databases, spreadsheets, or on-premise systems to modern cloud data infrastructure.

Technologies

Tech Stack

Python Apache Spark Apache Airflow dbt Snowflake BigQuery Redshift PostgreSQL Power BI Tableau Looker AWS Glue Azure Data Factory Fivetran
Who This Is For

Companies making decisions on gut feeling because getting accurate data takes too long. Teams drowning in spreadsheets and manual data aggregation. Businesses ready to move from reactive reporting to proactive analytics. Organisations with data in multiple systems that need a unified view.

FAQ

Frequently Asked Questions

Power BI, Tableau, Looker, Metabase, and custom-built dashboards. We'll recommend based on your team's technical comfort, existing licenses, and reporting needs.
A focused implementation with 3-5 data sources typically takes 6-10 weeks. Larger implementations with complex transformations and multiple dashboards run 3-5 months.
We design for self-service where possible. Dashboards update automatically, pipelines run on schedule, and alerts catch issues. You'll need someone to build new reports and add data sources, but daily maintenance is minimal.
Yes. We integrate with whatever you're already using and build from there. No need to rip and replace unless your current tools are genuinely limiting you.
We implement role-based access, data masking, encryption at rest and in transit, and audit logging. We work within GDPR, HIPAA, and SOC2 requirements.
By building dashboards around decisions, not data. We start by understanding what decisions your team makes and what information they need, then work backwards to the visualisation.

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