Data Strategy Consulting

Turn your data strategy into a growth driver.

Together, we develop a data strategy that doesn't end up in a drawer, but brings real added value. So that you can use the full potential of your data.
Certified consultants
Transformation-driven
Industry-independent
AI Strategy Consulting - taod.ai
Find out what's in your data

If data is to be effective, a clear strategy is needed.

A strong data strategy is created when business objectives, data structures and operational reality are considered together. This is exactly what is missing in many companies: Decisions are made in isolation, roles are unclear, potential lies dormant. We develop strategies that close this gap - together we define what your data should achieve, how you get there - and how this can be translated into structures, roles and roadmaps.

The difference between having data - and actually using it.

Alignment

A good data strategy is effective if it is aligned with the company's goals - and helps to achieve them in a measurable way.

Competitive advantage

Those who use their data sensibly recognize opportunities earlier - and risks in good time. A well thought-out data strategy creates the framework for this.

Prioritization

A clear data strategy determines what really needs to be tackled first - and what can (still) wait.

Integration

Data strategy takes integration into account - systemically and procedurally. This makes it easier to dock new tools, use cases or teams.

We now have a fixed order and structure, we know which topics we want to work on and people are clear about the priorities.

Dr. Heiner Lütjen
Corporate and Strategy Developer
RheinEnergie

We have held training sessions, feedback rounds, we have responded to needs, we have really looked at how things have been done so far and tried to improve things on that basis.

Jonas Galli
Team Leader Data Science
Raiffeisen Landesbank Südtirol

What business intelligence can achieve - if it is thought through correctly.

Self-service

Access data without having to wait for anyone. With predefined logics and easy-to-understand dashboards.

Relevance

Reports are used - not just built. Because they are relevant, understandable and well placed.

Uniformity

If everyone works with the same definitions, reports become comparable - and decisions clearer.

Transparency

Where does the number come from? Why is it like that? Well-implemented BI makes processes comprehensible - both technically and in terms of content.

How we work - and what you get out of it

We develop your individual data strategy and drive the digital transformation of your company.

We listen before we deliver

Before we get started, we want to understand: your setup, your goals, your reality. Only then do we move on to development.

We are open to technology

We don't opt for tools - we opt for solutions. We provide independent advice and only recommend what really makes sense for you.

We speak plain language

We speak clearly - even on complex technical topics.

We use AI

We use AI where it makes sense. This enables us to achieve results faster and more efficiently.

More about data strategy

Case

Data strategy at RheinEnergie

From decentralized data initiatives to the development of a central data strategy as a business enabler.

Read now
Tableau vs. Power BI Whitepaper
Whitepaper

Data Thinking Guideline

How are the prerequisites for a successful data strategy created?

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Magazine data!
Magazine data!

Byte to byte

Open up your possibilities, because you have plenty of them. We recommend your data and our data as a source of inspiration!

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