Live pipelines
Stream or near-real-time data flows from source systems into a warehouse and out to dashboards, kept healthy by tested transformations.
Data & Analytics Automation
Automated reporting, real-time dashboards, predictive analytics.
ServiceLast updated
Service overview
Data pipeline builds, BI tool integrations, and predictive models that turn your raw data into decisions you can act on every morning..
Engagement
What this service includes.
Data audit and source mapping
Pipeline build and BI integration
Reporting cadence setup
What we offer
Why this service matters.
Decision-ready dashboards
Looker, Metabase, or your existing BI surface, focused on the handful of metrics that actually drive behaviour, not everything you can measure.
Predictive models
Forecasts, churn risk, lead scoring, and anomaly detection deployed where the team already works, not buried in a separate tool.
Data & Analytics integrations
Powerful AI integrations.
We pick the right model for your data & analytics build, then blend providers behind a single internal interface.
OpenAI
GPT and embeddings. Broad ecosystem, strong structured-output and tool use, the safest default for general production.
Claude
Anthropic's frontier model. Our default for agents and long-context work where reasoning matters more than raw speed.
Gemini
Google's long-context multimodal family. Excellent for document and video pipelines, especially at scale.
Grok
xAI's model with live-web reasoning and a different blend of strengths. Useful for research-style and edge-case workloads.
DeepSeek
Open-weight models with strong cost-to-performance. We use it self-hosted when residency or unit economics demand it.
Perplexity
Citation-grounded search API for live-web augmented agents. Drops cleanly into RAG pipelines that need fresh sources.
FAQ
Questions about data & analytics.
Do you replace our BI tool or work with what we have?
Whatever you have, almost always. Looker, Metabase, Power BI, Tableau, even a Notion dashboard. The tool is rarely the problem; the data behind it usually is.
Real-time or batch?
Real-time when the decision needs it (operational alerts, fraud, customer-facing personalisation), batch otherwise. Real-time is more expensive and you should know why you are paying for it.
Will this work with our messy data?
Most data is messy and that is fine. We model the transformations explicitly with dbt or equivalent so the rules are visible, testable, and not buried in someone's spreadsheet.
Who keeps it running once you are gone?
We document the pipelines, write tests, and either hand off to your team with training or stay on a retainer. Most clients stay on a retainer for a few months while their team gets comfortable.
Get started
Ready to automate your operations?
A 30-minute call to map the highest-impact automation and AI opportunities in your business. You leave with a prioritised list, whether you hire us or not.