Datalab services

From data foundation to dashboard, model, workflow and decisions

Choose the route that fits your question. Datalab helps with data warehouses, sovereign data platforms, dashboards, analytics, AI, process automation, data strategy and temporary specialists who work alongside your team.

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Abstract illustration of data, analytics and decision-making

100% independent

No vendor interest

From source to use

Platform, BI, analytics and adoption

Alongside your team

Implementing and transferring knowledge

What do you want to move forward with?

Most questions fit one of these routes. For each route, you can also see which specialist consultancy fits alongside it.

Consultancy

Do you need a specific specialist rather than a full project?

Sometimes a full service is not necessary. Your team may mainly need temporary senior expertise: someone who reviews, builds with you, explains choices and transfers knowledge.

That is why consultancy has its own route. You can go straight to the specialist, or use the overview page first when your question touches several domains.

  • For reviews, second opinions, training and short advisory questions.
  • For retained hours or periodic support alongside your team.
  • For project-based support when temporary extra capacity is needed.

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Choice support

Which route fits your situation?

A good data route does not start with tooling, but with the type of problem. Is it about a reliable data foundation, better management information, smarter analysis, direction for the organisation or temporary specialist capacity?

These routes connect to each other. A data warehouse can be the foundation for dashboards, dashboards can raise questions for analytics, and data strategy helps determine what should come first.

Illustration of a focused route towards better data use
Approach

How we move from question to suitable service

We first map your question, current data environment and team context. Then we determine whether a service, a consultant or a combination is the most logical route.

For broad questions, we often start with direction and the data foundation. For concrete bottlenecks, a consultant can add value faster.

Independent choice

We do not choose a route because a tool is popular, but because it fits your data, people and operating context.

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1.

Clarify the question

We determine which decision, process or team should work better with data.

2.

Assess the current situation

We look at sources, dashboards, models, tooling, governance and capacity.

3.

Choose the route

We choose between data warehouse, BI, analytics, process automation, strategy, consultancy or a combination.

4.

Deliver and transfer

We build, guide and make sure your team understands what has been put in place.

Experience with organisations that rely on data

Datalab works for retail, accountancy, public organisations, healthcare, logistics and knowledge-intensive teams.

They also trust Datalab

Frequently asked questions

Frequently asked questions about Datalab services

Short answers if you do not yet know exactly which route fits.

Should I start with a data warehouse or a dashboard?

That depends on your sources and use. With one clear source, a dashboard may be enough. With multiple sources, history, definitions and reuse, Data warehouse setup is often wiser. For retail, e-commerce, wholesale and D2C we have bundled this in Retail Studio.

When should I choose consultancy?

Choose consultancy when your team temporarily lacks specialist expertise. View the consultants route or go directly to Power BI, Tableau, R Shiny, Analytics & AI, AI Process Automation & Windmill, data strategy, Data engineering, Apache Airflow or DBT. For complete workflow projects, Process Automation is more logical.

Can services be combined?

Yes. Many projects combine a data foundation, dashboards, analytics, process automation and adoption. We keep the route modular so you can start small and expand logically.

Are you tied to specific tools?

No. Datalab is independent. We work with Power BI, Tableau, R Shiny, DBT, Apache Airflow, Windmill, Python, SQL, AI components and cloud platforms, among others, but choose what fits your situation.

How do we start if the question is still unclear?

Schedule a call via Schedule a call. We help organise the question and advise which route is logical.