Data Product
Data products for internal use and monetizable data services
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You collect data but do not generate real value from it?
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AI use cases remain isolated projects without scalability, and the monetization potential of your data is unclear?
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We support you in building strategically developed data products – internally to increase efficiency and externally to unlock monetization potential.
Non-binding, practical and concrete, approx. 15 minutes
From data strategy to market-ready product
We connect strategy, governance and business case so that data becomes real products.
Product thinking instead of reporting thinking
We establish clear ownership, SLA structures and sustainable product responsibility.
Monetization with structure
We do not just develop the data product. We also define the right pricing and scaling model.
What is a data product?
A data product is a clearly defined, accountable and technically usable data offering with a clear purpose, target audience and quality promise.
A real data product includes:
- A clear target audience, such as a business department, AI system or external customer
- A defined business purpose
- Clear ownership, such as a Data Product Owner
- Quality and service-level commitments
- Technical delivery, such as an API, dashboard, dataset or service
- Governance and compliance integration
A data product is not just a dataset. It is data that is designed, operated and continuously developed like a product.
How do you develop a data product?
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1. Define the business purpose: Clarify which specific problem the data product solves, who the target users are and what measurable business value it creates.
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2. Structure the data foundation: Identify relevant data sources, ensure data quality and define clean transformation and modelling processes.
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3. Clarify governance & compliance: Define responsibilities and ownership, set access rights and integrate regulatory requirements from the outset.
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4. Develop the technical delivery model: Decide on the right delivery format, such as an API, dashboard, data feed or SaaS module, and ensure monitoring, SLAs, versioning and documentation.
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5. Scale & monetize: Develop a robust business case including a pricing model, establish KPI-based steering and ensure the continuous development of the data product.
A clear roadmap to your data product
Our work as external consultants for hundreds of companies of all sizes – including government authorities and corporate groups – has continuously sharpened and improved our approach. In just five steps, we guide you towards an internally usable or monetizable data product.
Data service readiness check
We assess whether your data is legally, organisationally and technically ready to be productized. To do so, we analyse data and rights classifications, assess regulatory requirements, such as the GDPR, the Data Act and the EU AI Act, and develop a governance set-up with clear responsibilities. The result is a well-founded go/no-go recommendation for productizing your data.
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Data product canvas & business case
We structure your data product around purpose, target audience and value, develop a clear product design, such as an API, dashboard or service, and identify relevant data sources and transformation logic. In addition, we prepare an ROI and break-even analysis and develop viable pricing and monetization models.
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Data monetization readiness check
We develop a robust SLA and governance framework for data-based services, define monitoring and evidence mechanisms, and design bonus/malus logic. At the same time, we ensure contractual and audit readiness and validate the market readiness of your data product before scaling.
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Governance & compliance integration
We systematically integrate data governance, data protection and regulatory requirements into your data product. This includes clear ownership structures, privacy- and security-by-design principles, as well as robust documentation and audit structures for secure and compliant operations.
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Operating model & scaling
We develop a sustainable operating model for data products, establish clear product responsibility, such as a data product owner, and integrate the model into your existing organisation and IT landscape. In addition, we define KPI-based steering and a structured strategy for scaling internal and external data products.
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ISiCO has a broad overview of many industries and is therefore familiar with how a wide range of different companies solve problems. This enables them to identify new ideas that can then find their way into companies such as ours.
Real impact not just concepts
We develop data strategies that do not end with a concept – but create tangible impact. Our strength: We connect business objectives, technology and governance to create a clear roadmap.
Without data products |
With structured data products |
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| Data as a by-product of processes | Data as a strategic product |
| One-off analyses & Excel exports | Versioned, reusable data services |
| AI projects without scalability | Reusable feature and data foundation |
| Unclear responsibilities | Clearly defined product owners |
| No monetization model | Clear business cases & pricing logic |
| High dependency on IT | Product thinking with a business focus |
Ready for consulting that doesn’t slow you down. But moves you forward?
In a conversation with our experts, you will learn what is possible – technically, legally and strategically. Highly concrete and fully tailored to your organisation.