We design, build and govern analytics on the Microsoft data platform. We work quickly, document everything to a set standard and build each solution for your own team to run.
It often begins with something small that nobody treats as urgent at the time.
We are usually called in after one of these has happened. Dealing with these problems earlier takes less time and costs less money.
Two reports show different numbers and nobody can say which one is right.
The person who built the model leaves the business.
A refresh breaks at month end and nobody is alerted.
Capacity costs keep rising and nobody knows which workspace is causing it.
Every project goes through the six stages below, whether it is a single report or a full rebuild of your BI setup. The amount of work in each stage depends on the size of the job. Building starts once the main metrics are agreed, and we hand over once your team can run and maintain everything we have built.
The first step is a review of your current setup: models, refreshes, capacity, access, how many reports you have, and where the numbers disagree.
Before anything changes, we find out what is actually running today and compare it with what the documentation says.
A scored review against our BI standard, a list of fixes in order of priority, and a costed plan.
Here we work out how your data platform, models and reports will fit together, and agree what the main numbers mean with the people who are responsible for them.
The most expensive rework on a BI project usually comes from building before people agree on what the numbers mean, so the important definitions are settled at this stage.
A documented target design and a metric dictionary, with the main metrics agreed by the people responsible for them. Both belong to you, whoever does the build.
This is where the pipelines that feed your reports are built, from loading your source systems through to a warehouse or lakehouse that your models can rely on.
Reliable reports depend on well-built data pipelines, and a large part of the work happens at this stage.
Documented pipelines running in your environment, under source control, that your team can read and extend.
Semantic models and reports are built in short cycles from an agreed backlog.
Your team can follow the work as it happens, and the people who will use the reports are involved throughout.
Tested semantic models and reports in production, with each release documented and reversible.
Security, lineage, monitoring, naming standards and the workspace structure are set up in a way your BI team can maintain after we leave.
Each item below is there to prevent a specific failure we have seen in live systems.
Certified semantic models, written standards for access, naming and publishing, and monitoring that your team can run.
Your team gets documentation, training and a clear exit plan, whether or not you keep us on for support.
From the first stage, the work is set up so your team can take over whenever it suits you.
Reports, models and pipelines your team can run without us, and a documented exit plan.
We build on standard platform features, in your tenant, with everything documented and version controlled in your environment. If you want to bring it in-house next year, we will train your team and hand everything over properly.
Our team is made up of industrial engineers, data scientists and data analysts, with 74 years of combined experience across logistics, manufacturing and retail.
We also do engineering consulting and supply chain optimisation work, so the people building your reports already understand how warehouses, transport operations and production lines run. That makes it easier to spot a number that doesn't match what is happening on the floor, and to design reports around the decisions your managers make each day.
Meet the teamMost clients start with an assessment and decide on next steps from there. The assessment is yours to keep, whether or not you continue working with us.
For teams who feel their reports are not trusted and want to find out where the problems are.
A structured review of your current setup against our BI standard, covering semantic models, refresh reliability, capacity and cost, access and security, the number of reports, and metrics that disagree with each other. You get a scored review, a list of fixes in order of priority, and a costed plan.
This is a fixed fee, and the review typically takes two to three weeks.
Book a health checkFor a specific build, such as a new reporting area, a move to Fabric, or fixing an existing setup.
The work is planned in phases from the backlog and delivered in short cycles by a named lead consultant. We build to the standard described above, document as we go and hand over at the end with training for your team.
We charge a fixed price per phase where the scope is clear, and time and materials where it is still open.
Discuss a projectFor businesses without a BI team, and for larger teams who need extra capacity or specialist skills alongside their own people.
We run your platform or work as part of your team, covering pipeline and refresh monitoring, model upkeep, new reports, capacity management and governance. If you have an in-house team, we work in your tenant and to your standards, and we train your people as we go.
This is a monthly retainer based on the scope of work, with no lock-in beyond the notice period.
Talk about ongoing supportDescribe the reports you rely on and where they cause problems. We will reply with what we would look at first and whether a health check is the right place to start.