Our services at a glance

We create the conditions for a functioning data culture:

  • Maturity Assessment: Analysis of your maturity level in terms of data quality, technology and skills.

  • Data Strategy Roadmap: Development of a prioritised roadmap (typically 12–24 months).

  • Tool evaluation: Selection of suitable technologies and explicit recommendations on which tools you can leave out to reduce complexity.

  • Data governance: Definition of roles (ownership), processes and standards for consistent data.

  • KPI frameworks: Derivation of control-relevant key figures as a basis for decision-making.

  • AI readiness: Checking data availability and quality in preparation for AI initiatives.

When is external support worthwhile?

In day-to-day operations, there is often little room to consistently design a long-term data roadmap.

  • Data silos: Many tools (CRM, ERP, analytics, ads, social media) are in use, but not networked.

  • Data without focus: Data is collected for future use ("data hoarding") but rarely utilised.

  • Technology decisions: A system change is imminent, and you are unsure which tech stack is really suitable.

  • Cultural change: Decisions continue to be based on gut feeling rather than facts.

Our approach

We focus on operational results rather than months of theoretical phases. 

A solid data strategy is a prerequisite for any further use. Anyone who wants to automate processes or use predictive analytics and AI today needs reliable data.

We ensure that your data landscape is "AI ready". We do not view AI as an isolated hype topic, but as a logical building block of your overall strategy: Are the data sources tapped? Is the quality right? Are the legal guidelines (e.g. nDSG) defined?

This approach allows us to create clarity and deliver fast results:

1. Status quo & analysis
Where do you really stand? We analyse your current situation in a sober and fact-based manner. In doing so, we identify both opportunities for short-term improvements ("quick wins") and the necessary steps for long-term architecture.

2. Architecture & technology
We design a target vision that fits your organisation. Whether it's a lean setup or a complex enterprise structure, we provide technically sound recommendations for what you really need.

3. Organisation & Enablement
Technology alone does not solve problems. We work with you to define responsibilities (data ownership) and empower your teams to take advantage of the new opportunities.

What do you end up with?

Our process ensures that the vision is translated into concrete tasks:

  • Prioritised roadmap: A concrete roadmap with milestones, effort estimates and quick wins.

  • Architecture blueprint: A visual representation of your future data landscape and data flows.

  • Governance model: Clearly defined roles and responsibilities so that data quality is not left to chance.

  • AI readiness check: A clear assessment of whether and how your data is ready for AI applications.

Frequently asked questions (FAQ)

Do we need to replace all of our software? Rarely. Often, the potential of existing tools is only partially utilised. We first examine how we can optimise your existing infrastructure before recommending investments in new software.

How long does a strategy project take? An initial assessment with a rough roadmap can often be completed in 2–4 weeks. In-depth architecture projects take correspondingly longer.

Do you offer tool-neutral advice? We are independent. We use our partnerships for in-depth technical knowledge, but recommend what best meets your requirements.

Do you offer ongoing support or retainer services? Yes. We provide flexible support on a mandate basis, with defined SLAs if required.