A good data strategy starts not with technology, but with what your organization wants to achieve. From there, we define the desired state, assess where you are today, and map out the path between them. Not a lengthy report that ends up in a drawer, but a concrete transition roadmap with technical steps and attention to the people who will use it.
Most organizations have no shortage of ambitions for data. What is often missing is a concrete path from where they are today to where they want to go. A data strategy that never moves beyond visions and principles may look good in a presentation, but it will not help you move forward once you want to get started.
We take a different approach. To us, a data strategy is not an end in itself, but a means of achieving your organizational goals. That is why we start not with technology or the latest platform, but with what you want to achieve. Only once that is clear does it make sense to determine which data, architecture, and organizational structure you need, and how to get there from your current state.
The result is not an abstract document, but a concrete transition roadmap: which steps to take, in what order, and what they require from both a technical and organizational perspective. A strategy you can start implementing the day after delivery, rather than a report you first have to translate into something executable.
For us, a data strategy is not a fixed template that we impose on your organization. But the route we follow is always the same: from what you want to achieve, through a clear picture of where you are today, to a concrete path for getting there.
Most data strategies fail not because of the technology, but because of the people. The plan works on paper, but the organization cannot put it into practice: no one feels ownership, people lack the knowledge to work with it, and after a few months everything reverts to old habits. A strategy that fails to account for this is just an impressive document without results.
That is why we include the people side in the transition roadmap from the outset. We consider not only which systems and models need to be put in place, but also who will work with them, what knowledge they will need, and how to bring people along through the change. Sometimes that means training, sometimes assigning ownership, and sometimes simply phasing the work realistically so the organization can keep up. A transition roadmap that brings people along makes the difference between a strategy that disappears into a drawer and one that genuinely moves your organization forward.
Plenty of firms can develop a data strategy for you. The difference lies in what happens next. We do not write a strategy only to hand it over and walk away, because we also build data foundations ourselves. This means we know what a transition roadmap requires in practice, which steps are realistic, and where things go wrong. Our strategy is not a wish list, but a path that we can help you follow if needed.
Because we work with a range of platforms, from Qlik and Power BI to Microsoft Fabric and TimeXtender, we can independently advise you on what best suits your needs. We have no interest in pushing a particular platform. The question is not which tool we would most like to sell, but which architecture best serves your objectives.
We also know what implementation involves in practice, rather than just how to advise on it. We understand how much domain and industry expertise is required to set up data properly. After all, the processes, data sources, definitions, and priorities of a retailer differ from those of an occupational health services provider, media company, or logistics organization. Because we understand that context, we can better assess what your organization genuinely needs and what is feasible. We also know how important it is to bring people along through the change and how to phase a transition roadmap so the organization can keep up.
The result is a strategy document that clearly sets out your objectives, desired future state, and current situation side by side, together with a transition roadmap as a concrete plan of action: which steps to take, in what order, and what is required from both a technical and organizational perspective. Not a theoretical exercise, but a document you can put to work immediately.
We do not just explain it on paper. We also present a summary of the findings to your management team, helping the direction resonate with the people making the decisions. If your organization wants to take it forward independently, we can help translate the strategy into practice through in-depth workshops.
A data strategy points the way, but the real work begins when you start following that path. Unlike firms that leave once they have delivered their advice, we can also implement the transition roadmap ourselves. If the strategy shows that you need to redesign your data foundation, migrate to another platform, or improve your reporting, our consulting teams can take care of it.
Whether you entrust that implementation to us or handle it yourself is up to you. The strategy stands on its own and belongs to you. But it helps when the firm that mapped out the path can also follow it, because that gives you confidence that the plan is feasible and will not remain stuck at the level of good intentions.
In a brief call, we’ll explore your objectives and whether a data strategy is the right next step.
That depends on the size of your organization and how clearly defined your goals and current situation already are. It usually takes a few weeks, during which we hold several sessions and turn the analysis into a strategy document. In a brief conversation, we define the scope together so you know what to expect in advance.
No. Clearly defining your objectives is the first step we take together. Many organizations have a general direction in mind but no concrete picture yet of exactly what they want to achieve and why. Clarifying that is part of the process, not something you need to complete beforehand.
A strategy document that sets out your goals, desired situation and current situation side by side, with a transition roadmap as a concrete plan of action. It is not an abstract document, but something you can act on immediately: which steps to take, in what order, and what is required from a technical and organizational perspective. We also present a summary to your management team.
No. A clear data strategy is especially valuable for midsize organizations because resources are more limited, so the choices you make have a greater impact. A good strategy prevents you from investing in something that does not align with your goals. We tailor the depth and scope to your needs, so it does not have to be a complex, long-term process.
Both are possible. The strategy stands on its own and belongs to you, so you can handle the implementation yourself or assign it to another provider. But because we also build data foundations, we can implement the transition roadmap as well. The advantage is that the team that mapped out the roadmap knows it is feasible.
A data strategy is a specific form of our strategic advisory service, focused on how you can use data to achieve your organizational goals. If you specifically want to know whether your data is ready for AI, our AI readiness assessment is designed for that. If the strategy shows that something needs to be built or migrated, that becomes consulting: actually setting up your data foundation. And as always, if you only need the advice and can take it from there yourself, that is perfectly fine too.
That is the rule rather than the exception, and it is no obstacle to getting started. Assessing your current situation reveals exactly where things are disorganized and what that means for your goals. The less clarity you have now, the more value a clear strategy provides, because you will know exactly where to start.
Whether you want a concrete plan or would first like to discuss where to start, we are happy to think it through with you. Send us an email, call us or schedule an appointment directly for a time that works for you.