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Advice on your data from the people who build and run it afterwards: since 2014, from Eindhoven, for organisations across the Netherlands.
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Organisations where we and our professionals have worked








Data consultancy at Twentynext starts with the decision that needs to improve, not with the platform. In eight advisory days, spread over two to six weeks, we map which data you have, what makes it reliable and what it costs to steer on it. That exploration costs € 7,500. The same consultants help build it and run what goes live, some systems for years.
What does a data consultant at Twentynext do? They find out which decision needs to improve and which information it depends on, before anyone talks tooling. Then: which data exists, how reliable it is and what has to be fixed first.
What question do you bring? Three departments work with three different figures and nobody trusts the dashboard. There is a data platform nobody dares to touch. Or the board wants a data strategy it can explain: a sequence, not a vision statement.
What it is not. Not an advisory report that disappears into a drawer. The design we make, our own engineers build. That keeps the advice honest: what cannot be built, we do not advise.
Strategic and technical, by the same people. A data consultant at Twentynext writes the data strategy and designs the architecture underneath, and knows where such designs run aground. That saves a handover: whoever gave the advice is at the table when it is built.
No staff gallery, but more than twenty specialists on permanent contracts: analysts, engineers and developers who look at the same question from different sides. For the data science core we follow CRISP-DM; every project starts with one agreed measure you can hold us to.
We start with the board and end on the work floor, where a figure has to land. And we say so when you should not build: sometimes a report will do.
What we advise, we can also run. Concretely: monitoring and incidents, changes and further development, and technical and application support from database and pipelines to the application layer. Every agreement is written down: what we monitor, how fast we respond, who is responsible and what happens if the regular engineer is unavailable. Response and resolution times are set per contract in an SLA.
Some systems have been under our management for years, such as the data platform for AxionContinu with our reporting portal NextView, running since 2023. We also take on systems others built. What you do not get is a dependency on us: the documentation to hand it over is part of the work. Read more under Service & Maintenance.
Proof
Retail · research
Demand forecasting for products with a one-day shelf life, where demand itself cannot be observed. On one fresh product across ten stores, profit rose 4 to 7 per cent through adjusting the ordering parameters alone.
AxionContinu · long-term care · in use
Reports and dashboards for task and steering information at a long-term care provider near Utrecht: client records, rosters and finance in one place, with the same definitions. Plus AI applications for care professionals. In use; AxionContinu steers, Twentynext keeps the figures traceable.
Police · Q-LAB · since 2020
Within Q-LAB, the police innovation programme, Twentynext examined which combinations of existing sources yield new information and which mainly yield spurious correlations. The result is not a platform but a substantiated answer to where linking pays off. Since 2020.
A few examples of services with which we can support your organisation:

A first conversation comes with no obligation. After that it starts with an exploration of eight advisory days, spread over two to six weeks, with a fixed scope; that costs € 7,500 excluding VAT. Prefer a single day first? A start day costs € 1,000 and delivers a prioritised list and our advice on whether the exploration is worth it. What a project costs after that depends on what has to be built and what is already in place. We can only say that after the exploration, and sometimes the answer is that you do not need to build.
That depends on how much work remains after the first project. If little, outsourcing is cheaper than a team of your own that goes idle after the build. If a lot, you build your own team and we help with specialists in your team until it stands. In the blog Data quality and AI: why projects run aground we describe what that team has to be able to carry.
Data consultancy is about the foundation: which data exists, whether it is reliable, how it reaches the people who decide, and what that requires in platform and definitions. AI consultancy is about whether a model adds anything and how it gets into production. In practice an AI question often starts at the data foundation, and we say so.
The exploration takes two to six weeks, depending on how many sources and departments are involved. After that you know what has to be fixed first and what it costs. If it becomes a project, it goes through six steps from scope to support; how long that takes depends on the data and on the work process it has to land in. We set the measuring point at twelve months.
Twentynext has worked since 2014 for healthcare and life sciences, security, industry and maritime, retail and ecology. Named examples: the data platform for AxionContinu in elderly care, the analysis for the Dutch police within Q-LAB and the crime room for DITSS. The seventeen cases are grouped by question, because the same technique turns out to work in more than one sector.
For SMEs, regional schemes exist that cover part of external advisory costs, such as the North Brabant scheme Datamaturiteit MKB via the data coaches of Brainport voor MKB, Midpoint Brabant and REWIN, or the Groeiversneller of Oost NL for growth companies in Gelderland. Whether and how much is covered depends on your location, sector and the available budget; the Brabant scheme had reached its ceiling in September 2026. In the first conversation we look together at which route fits. You submit the application yourself; we supply the quote and the advisory report.
Not in any essential way: data advice is another name for what we call data consultancy. At Twentynext it means advice on your data from the people who will build and maintain it afterwards: which decision needs to improve, which data has to be reliable for it and what needs to be in order first. The exploration of eight advisory days is the form in which that advice is given.
That depends on what has to happen after the analysis. A data analysis firm delivers the analysis and the report; after that, your organisation has to take it further itself. At Twentynext the analysis is the beginning: the same people then design the platform or the model, build it and maintain it. If you only need a one-off analysis, we will tell you so.
Yes, as part of data consultancy. For us, BI consultancy is about the reports and management information teams work with every day: the same definitions for all departments, figures that can be traced back to the source, and authorisation handled in the layer itself. The data and reporting platform for AxionContinu is an example, with analyses and AI applications for care professionals on top.
Take the free Data Maturity Scan: sixteen questions, seven minutes, instant result, no e-mail address needed. Bring the outcome and the conversation does not start from zero.
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The people who build it also run it afterwards. Eindhoven, since 2014.
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