Build
Data platforms, pipelines and reporting that turn operational data into numbers your teams trust and use.
Overview
Most companies have plenty of data and too few answers. The work is in bringing data together, cleaning it and presenting it so people can act on it.
We design data warehouses and lakehouses, build the pipelines that feed them and create dashboards for the questions your business asks every week.
What we deliver
Take one piece or the whole scope, delivered by one team.
Pipelines that collect, clean and combine data from every source system.
Warehouses and lakehouses on Snowflake, Databricks, Azure or AWS.
Dashboards and self-service reporting in Power BI, Tableau or Looker.
Definitions, ownership and checks so the numbers mean the same to everyone.
Moving legacy reports to a modern platform without losing what users rely on.
Ongoing changes, new reports and platform administration.
What good looks like
We agree how success will be measured before work starts, and report against it.
How we work
Each phase ends with something you can review and sign off, so you can stop, change course or continue with confidence.
Start from the decisions people need to make, not from the data.
You get
Design a model that answers those questions consistently.
You get
Deliver in increments, one subject area at a time.
You get
Train your users and keep the platform running.
You get
Technology
We choose tools to fit your stack and your team, and we document what we build so you’re never locked in.
You see progress the whole way through, in the same kind of view shown here.
Examples
Two typical engagements: the problem, what we did, the team and the result.
Example scenario · Multi-site services group
The situation
Finance and operations produced different revenue and margin figures from separate spreadsheets every month.
What we did
Example scenario · Insurance company
The situation
Hundreds of old reports ran on an out-of-support server and many were no longer used.
What we did
These examples show the kind of work we do. They are illustrative and do not describe a named client.
Team and pricing
Every engagement has a named delivery lead. Need individuals rather than a team? We place data engineers, BI developers, data analysts and more on contract, contract-to-hire or direct hire terms.
Sized to the work; this is a common starting point.
A fixed scope and timeline, led by our delivery lead. Often fixed price for discovery and first release.
A stable team working on your backlog and tools, billed monthly. Scale up or down with notice.
We run and improve what has been built, against agreed service levels, for a monthly fee.
FAQs
Most companies need a well-modelled warehouse first. A lakehouse helps when you have large volumes of semi-structured data or data science workloads.
Usually the one your company already licenses. We build in Power BI, Tableau and Looker and can migrate between them.
Automated tests on every pipeline, reconciliation with source systems, and metric definitions signed off by the business.
The first subject area, with dashboards, usually lands in six to ten weeks.
Yes. We offer monthly support for pipelines, new reports and platform administration.
Industries
Banking and financial services Software, data and specialist staff for banks, credit unions, lenders and payment companies. Learn more 
Healthcare Clinical staffing, health IT and software for hospitals, clinics and care providers. Learn more 
Retail and consumer E-commerce, data and staffing for retailers and consumer brands selling in store and online. Learn more 
Insurance Helping insurers modernise policy, claims and customer service with software, platforms and people. Learn more More from Build
Next step
Tell us what you need and when. We’ll come back with an approach, a team and a plan.
Prefer email? Write to info@tekishub.com.
