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







What makes a strong data strategy.
Alignment
A 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.
Find the right service for you
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Can't find the right package for you?
Just send us a message and we will find out together how we can help you in an initial meeting.
How we work - and what you get out of it
We help you to automate your reporting and make your data processes more efficient - with experience, a hands-on mentality and a clear plan.
Before we get started, we want to understand: your setup, your goals, your reality. Only then do we move on to development.
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 clearly - even on complex technical topics.
We deliver iteratively - quickly, tangibly and without months of concept phases.
Strategy Consulting at taod
Data, drinks & cathedral - the Data Lounge & Learn event at Microsoft in Cologne
More about data strategy

Establishment of a data team for nexible
A case study on how we supported and advised nexible in setting up an internal data team.

Data Thinking Guideline
How are the prerequisites for a successful data strategy created?

Open up the future
Open up your possibilities, because you have plenty of them. We recommend your data and our data as a source of inspiration!
How can we advise you?
