Analytics
Turn raw data into decisions your whole business can act on
We design, build and operate the data platform behind your reporting: pipelines that pull from every system you run, a cloud warehouse your teams can trust, and dashboards people open every morning. When you're ready, we add machine learning and generative AI on top.
Ways to work with us
Pick the engagement that fits your team
Some clients need a platform built once. Others need a data team they don't have to hire. Most start with one and grow into another.
Build to order
A fixed-scope build with a clear finish line, such as a new warehouse, a migration off legacy reporting, or a set of executive dashboards.
Managed data services
We monitor pipelines, fix failures before users notice, apply upgrades and handle a steady queue of new report and data requests.
Fractional data team
A data architect, engineer and analyst for a set number of hours each month. Senior skills without full-time salaries.
Engineers on your team
Our engineers join your stand-ups, work in your repositories and ship alongside your staff until the work is done.
Generative AI on your data
We find where AI can answer questions from your own data safely, then build it with the Claude AI Enablement practice.
Data platform assessment
A short review of your sources, tools, costs and reporting gaps, ending with a prioritized plan you can use with or without us.
What we build
Every layer of the data stack, from source to screen
Data strategy
Target architecture, tool selection and a roadmap tied to the questions leaders need answered.
Data engineering
Reliable ingestion from ERP, CRM, HR, finance and operational systems, with tested transformations and clear lineage.
Warehouse and lakehouse
Cloud data models designed for speed and cost control, with security and access rules built in.
Dashboards and metrics
One agreed definition for each metric, surfaced in dashboards built for executives, managers and analysts.
Machine learning and AI
Forecasting, anomaly detection, segmentation and natural-language question answering on governed data.
DataOps
Version control, automated testing, CI/CD and monitoring so changes ship safely and failures surface fast.
How we build it
Five layers, built in the right order
Each layer rests on the one below it, so dashboards and AI are only as good as the pipelines and models underneath. We build them in sequence and test every step.
Data maturity
Move up one level at a time
Most companies sit somewhere between spreadsheets and a single source of truth. We meet you where you are and take you up the staircase in steps that each pay for themselves.
Reaching level three, one agreed set of numbers, is where most of the value shows up. Everything above it, including AI, builds on that foundation.
Technology
Tools we know deeply
We recommend what suits your team and budget, not a single vendor's stack.
Cloud data platforms
Ingestion and integration
Transformation and orchestration
Semantic layer and BI
Analytics accelerators
Start from a proven model, not a blank page
Pre-built data models and dashboards for common business functions. We adapt them to your systems, so first results arrive quickly.
Finance
P&L, cash flow, budget versus actuals and close tracking across entities.
Sales and marketing
Pipeline health, bookings, campaign return and, with our SPM practice, quota and payout analysis.
People and HR
Headcount, hiring funnel, attrition and workforce cost by team and location.
Procurement and spend
Spend by supplier and category, contract compliance and savings opportunities.
Supply chain
Inventory, fulfilment, lead times and supplier performance in one view.
Contact center
Volume, handle time, first-contact resolution and agent performance trends.
Industries
Where our data work runs deepest
Energy and solar
Project, installation and asset performance data joined with finance and field operations.
Contact centers
Telephony, CRM and workforce data combined for real-time service insight.
Manufacturing
Production, quality and cost data connected from the plant floor to the ERP.
Logistics
Shipment, fleet and warehouse data for on-time and cost-per-delivery tracking.
How we deliver
Small releases, visible progress
Assess
Inventory sources, tools and reporting pain points, and agree on the first business questions to answer.
Design
Choose the architecture, define core metrics and plan the first release.
Build
Ship working pipelines and dashboards in small, regular releases, tested against source data.
Operate
Monitor, tune costs, train your team and keep adding use cases.
Results
What clients get
- One trusted source for company-wide numbers
- Reports that refresh on their own instead of by hand
- Lower, predictable cloud data costs
- A platform ready for AI when you are
FAQ
Common questions
We already have a data warehouse. Can you work with it?
Yes. We start by reviewing what you have and build on it wherever it makes sense.
How quickly will we see something working?
Early in the engagement. We release in small steps, and an accelerator can speed up the first result.
Do we have to use a particular cloud or BI tool?
No. We work across Snowflake, Databricks, Google Cloud and Azure, and with all the major BI tools.
What does a fractional data team cost?
It's a fixed monthly fee for an agreed number of hours. [Add starting price or range if you want to publish one.]
Not sure where your data platform should go next?
Book a free assessment call. We'll look at your current setup and suggest the first three steps.