Data Strategy Consulting
Make your data strategy a growth driver
already rely on our expertise:
From decentralized initiatives to clear priorities
Together with RheinEnergie, taod organized data initiatives, prioritized strategic topics, and created a common structure for further implementation.
- Data-related requirements and initiatives spread across different business units
- No common strategic direction for the use and further development of existing data
- Together with the relevant departments, existing data practices were analyzed and strategically categorized
- A shared vision and prioritized areas of action were derived from the findings
- A concrete roadmap translates strategy into practice
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.
Where are you currently?
Whether it's initial BI structures or a scalable data platform, we start exactly where your current challenge lies.
There are initial ideas for using data, analytics, or AI, but no clarity yet on which potential areas are most relevant. We assess your current situation and identify the topics where a strategic entry promises the greatest benefit.
The result: A clear picture of the current situation and prioritized next steps
Recommended entry point: Data Foresight
Data, analytics, and AI initiatives are emerging in various areas without following a common direction. We create transparency regarding ongoing projects, assess their importance for corporate goals, and develop a binding strategic alignment from them.
The result: Clear priorities and a shared roadmap for your data initiatives
Recommended starting point: Comprehensive Data Strategy
Data is used in many areas, but responsibilities and decision-making processes are not clearly defined. We develop a suitable organizational and governance model that clarifies responsibilities and improves cross-departmental collaboration.
The result: Clear responsibilities and reliable structures for managing data
Recommended starting point: Focused Strategy
The strategic direction is defined in principle, but priorities, responsibilities, or concrete next steps are missing. We review your existing strategy, translate it into a realistic roadmap, and create a binding framework for implementation.
The result: An actionable roadmap with clear priorities and responsibilities.
Recommended starting point: Comprehensive Data Strategy
The difference between having data and actually using it
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We now have a fixed order and structure, we know which topics we want to work on and people are clear about the priorities.
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.
Raiffeisen Landesbank Südtirol
Why taod?
We combine strategic consulting with hands-on implementation experience. This allows us to develop data strategies that align with your business goals, your organization, and your technological capabilities.
We don't just provide strategic guidance; we also put data, analytics, and AI initiatives into practice. This means we know which decisions prove successful during implementation and which requirements need to be considered early on.
We don't start with technologies or trends; we start with your business goals. Together, we identify where data, analytics, and AI can create the greatest business value.
We don't align your strategy with any specific tool or vendor. Instead, we evaluate which technologies and solutions best fit your goals, your existing landscape, and your requirements.
We cover the entire data journey, from data strategy and platforms to analytics and AI applications. This allows us to connect strategic decisions with their eventual implementation right from the start.
FAQ
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.
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.
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.
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
RheinEnergie's data strategy
From decentralized data initiatives to building a central data strategy as a business enabler.
Data Thinking Guideline
How are the conditions for a successful data strategy created?
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!.
