Data Strategy Consulting

Make your data strategy a growth driver

Together, we’ll develop a data strategy that doesn’t just gather dust on a shelf but delivers real value. So you can unlock 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 have an impact, a clear strategy is needed

A robust data strategy emerges when business objectives, data structures, and operational realities are considered together. This is precisely what is missing in many companies: decisions are made in isolation, roles are unclear, and potential remains untapped. We develop strategies that bridge this gap—together, we define what you want your data to achieve, how to get there, and how to translate that into structures, roles, and roadmaps.

The difference between having data and actually using it

Alignment

A good data strategy has an effect when it is based on corporate goals and helps to achieve them measurably.

Competitive advantage

Anyone who uses their data sensibly recognizes opportunities earlier and risks in good time. A well-thought-out data strategy creates the framework for this.

Prioritizing

A clear data strategy determines what is really tackled first—and what can (still) wait.

Integration

Data strategy includes integration. Systemic and procedural. 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
Business and strategy developer
RheinEnergie

Working with taod has enabled us to analyze our sales and customer data much more efficiently. Sales reporting now combines all relevant data in a central view and supports us in strategic planning with precise projections.

Jonas Galli
Data Science Team Leader
Raiffeisen Landesbank Südtirol

What business intelligence can do — when it's properly thought out.

Self-service

Access data without having to wait for anyone. With predefined logics and understandable dashboards.

relevancy

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

uniformity

When everyone works with the same definitions, reports become comparable — and decisions become clearer.

transparency

Where does the number come from? Why is she 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 forward.

We listen before we deliver

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

We are open to technology

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

We speak plain language

We explain things clearly—even when it comes to complex technical topics.

We use AI

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

Questions that will help you

FAQ

Why does your company need a data strategy?

A data strategy ensures that your company not only collects data, but also uses it in a targeted manner to make better decisions faster, create competitive advantages and solve recurring problems through structured processes.

Do we need a data strategy if we're already using BI tools?

Yes BI tools provide analyses but do not replace a data strategy. Without strategic guidelines, there is often a lack of connection to corporate goals, clear prioritization and a common understanding of what data should actually be used for.

Is a data strategy only relevant for large companies?

No A data strategy is worthwhile for companies of all sizes that want to make their data usable. Regardless of SMEs or corporations, because it systematically links processes, priorities and responsibilities with data.

How does a data strategy actually contribute to corporate goals?

A data strategy translates corporate goals into data-related measures. It ensures that data is used where it increases sales, reduces costs, improves processes or reduces risks.

Do you still have any unanswered questions?

Let us answer your questions during a non-binding initial consultation.

More about data strategy

Case

RheinEnergie's data strategy

From decentralized data initiatives to building a central data strategy as a business enabler.

Read now
Tableau vs. Power BI white paper
white paper

Data Thinking Guideline

How are the conditions for a successful data strategy created?

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Data! Magazine
Data! Magazine

byte to byte

Open up your options, because you have plenty of them. As a source of inspiration, we recommend your data and our data!.

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