Production RAG: run evals before you ship to customers
Retrieval quality, citation coverage, and regression suites matter more than model choice. Here is the eval ladder we use before any copilot touches production traffic.
What we build
Data Analytics & Dashboards — what we deliver
Explore deliverables, tooling, and how we engage. Select any item for detail.
Technology stack
Tools behind Data Analytics & Dashboards
Production-grade platforms we implement and integrate—aligned with your cloud, security, and compliance requirements.
How we deliver
Analytics your leadership can defend in meetings
We build pipelines and semantic models so everyone works from the same definitions—then dashboards people open without a chase.
Source audit and metric definitions
dbt-style modelling and testing
Semantic layer and governed BI
Self-serve with guardrails
Industries
Where trustworthy data changes decisions
Leaders tired of conflicting spreadsheets need pipelines and metrics defined once—then exposed where teams already work.
Healthcare & Life Sciences
Clinical and operational metrics with PHI-aware pipelines.
Financial Services
Risk, finance, and regulatory reporting from one semantic layer.
Logistics & Operations
Supply chain and fulfillment KPIs in near real time.
SaaS & Tech
Product, revenue, and customer metrics for growth teams.
Retail & E-commerce
Merchandising, inventory, and promo performance views.
Education
Enrollment, outcomes, and operational dashboards.
Public Sector
Program and grant reporting with audit-friendly lineage.
Manufacturing & Industrial
OEE, quality, and supply metrics on the plant floor.
Cloud & Platform
Analytics and BI programs we've delivered
Pipelines, semantic layers, and dashboards—with metrics definitions stakeholders align on.
Art App
Artist & Fans Meetup App
Battle of the Bands
Cam Alert Mobile App
Car Parts Shopping App
Clean Cut Barbers Club
Clothes Shopping Web
Coin Keeper
Art App
Car Parts Shopping App
Artist & Fans Meetup App
Clean Cut Barbers Club
Battle of the Bands
Clothes Shopping Web
Cam Alert Mobile App
Coin Keeper
Process we follow
From messy sources to trusted metrics
Audit, model, visualize, and adopt—with definitions documented before charts go to executives.
Discover & align
Inventory sources, owners, and conflicting metrics—prioritize high-impact use cases.
Build & evaluate
Build tested pipelines and a semantic layer with named definitions.
Harden for production
Ship dashboards and self-serve paths with access controls.
Launch & handoff
Enable analysts, monitor freshness, and iterate on the metric catalog.
Frequently asked questions
Frequently Asked Questions
Common questions about data pipelines, BI, and dashboards.
Still Have Questions?
We’re here to help you!
We audit sources, model layers, and metrics—then refactor incrementally without stopping the business.
We match tooling to your users; dbt-style modelling is common regardless of viz layer.
Documented definitions in the semantic layer—one version of revenue, churn, or utilization.
Yes, with guardrails so exploratory work doesn't break governed reports.
A focused metric set on cleaned sources often ships in 6–12 weeks; full warehouse modernization can run in parallel tracks.
Insights
From our engineering team
Practical notes on architecture, delivery, and shipping software your team can operate—not generic consulting filler.
Designing APIs that survive real-world load
Versioning, idempotency, pagination contracts, and error shapes that keep mobile, partner, and batch clients stable when traffic spikes.
Why CI/CD pays off before you think you need it
Teams delay pipelines until pain is acute. A thin CI/CD spine early reduces rework, makes security reviewable, and keeps MVPs shippable without heroics.