Service
Data strategy and consulting
Before you start building or migrating, it's worth spending a few days to know why and where. We help you decide with the numbers in hand.
How we can help
We run consulting projects so that afterwards you are not dependent on further advice. The goal is your team's independence, not a long-term contract.
Data platform audit
We map the current state – data sources, ETL flows, the data warehouse, reports and user processes. The output is a clear document with risks and recommendations sorted by impact.
Data and BI roadmap
Together we design a realistic 12 – 24 month plan – what to tackle now, what later, when to migrate and what it will really cost. Without empty "transformation" promises.
Technology and vendor selection
We help you decide between Microsoft Fabric, Snowflake, Databricks or a custom solution – vendor-neutral, based on your needs and company size. We have no licences to sell.
Data organisation and governance design
Who owns which data, who decides on a metric definition, how a new report is requested. Practical governance that does not block the business but protects it from chaos.
Getting ready for AI and Microsoft Fabric
We assess whether your platform is genuinely ready for AI scenarios and for deploying Microsoft Fabric – and what needs tidying up first for the investment to pay off.
Workshops with business and IT
Facilitated workshops where business and IT finally agree – defining metrics, priorities and ownership. Practical, with a concrete output the same day.
What you get
No "strategic" presentations for the drawer. Concrete documents you can use to decide, tender a vendor or start implementing.
Audit report (15 – 30 pages)
A clear document for both management and IT – the state of the platform, risks, data quality, technical debt, recommendations sorted by value-to-cost ratio.
Roadmap with a budget
Concrete initiatives with estimates of scope, internal capacity, external costs and expected benefit. Realistic – not just PowerPoint.
Architecture proposal
A diagram of the target architecture, key decisions and their rationale. So that your team understands it and can build on it or brief an external vendor.
Definition of key metrics
An unambiguous definition of the top 20 – 50 business metrics including the formula, data source, owner and frequency. The basis for consistent reporting across the company.
Why us
Vendor-neutral
We do not sell licences or implementation hours for other platforms. Our recommended architecture can even be "do not build your own DWH, use the one you have".
We stand behind our recommendations
If you choose us for the implementation too, we guarantee what we recommended. If you choose another vendor, the deliverables are yours and you can tender against them.
We speak the language of business and IT
We can talk to a CFO about receivables and to an architect about partitioning a fact table. We look for decisions the whole company understands.
Focused on ROI
Every recommendation comes with a cost estimate and the expected benefit. Without a benefit we would rather not recommend the project.
Typical audit scope
3 – 6 weeks depending on the size of the platform. We start with a kick-off workshop, continue with interviews with key people and technical analysis, and finish with a presentation of the findings and a workshop on next steps.
Who it makes sense for
For companies facing a larger investment (a new DWH, a cloud migration, an AI initiative), or those who inherited a platform they don't trust. Also for those who need an independent second opinion on an existing design.
Considering a bigger decision around data?
A free initial consultation – we'll look at whether and to what extent an audit or a strategy makes sense for you.