Data Monetization
Turn your existing data into new revenue, operational savings, and licensable digital assets.
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Why it matters
In today’s AI-driven world, data is more than an internal resource – it’s a business asset with market value.
Yet, most organizations fail to realize the monetization potential locked inside their systems, customer interactions, and operations.
Data monetization is not just about selling data. It includes:
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Turning operational insights into efficiency and cost savings
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Packaging unique datasets for external licensing or resale
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Developing data-based services, APIs or platforms
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Selling data for AI model training under ethical and secure frameworks
With the right strategy, your data becomes not just a byproduct of business – but a core business model.
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What you’ll gain
- Discover internal inefficiencies that can be solved with data-driven actions
- Identify unique datasets with value for partners, platforms, or third parties
- Create new digital offerings based on your operational or user data
- Increase ROI from your CRM, ERP, and AI infrastructure
- Package your data into Data-as-a-Service or Data-as-a-Software products
- Ensure legal, ethical, and secure monetization, aligned with GDPR and AI regulations
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How we work
1. Value Mapping
We identify which parts of your data can create operational, commercial, or market value.
2. Data Readiness & Risk Assessment
We evaluate quality, privacy, compliance, and licensing viability.
3. Monetization Strategy
We help you choose the right model:
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Internal monetization (cost reduction, decision support)
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External monetization (data licensing, APIs, AI partnerships)
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Productization (Data-as-a-Software)
4. Piloting & Scaling
We support test use cases, develop licensing strategies, and design scale-ready architecture.
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When to invest in Data Monetization
- You have large datasets, but no direct financial return
- You want to commercialize proprietary data through licensing or APIs
- You’re exploring Data-as-a-Product or Data-as-a-Software models
- You’re approached by partners seeking data access, but lack a strategy
- You want to prepare data for ethical AI training and participation in data ecosystems
- You need to show ROI on past digital initiatives
Don’t let your data remain an untapped asset.
Book a consultation and discover how to unlock new value streams through smart data monetization.
Licensing Data for AI Model Training
Sector: Specialized SaaS for Logistics
Challenge:
The client was developing a delivery route management platform and collecting vast amounts of real-time geolocation and timing data.
While they used the data internally, they hadn’t considered its external market value.
Our Approach:
Through a Data Monetization strategy, we identified that their field-level data had high value for AI model development in the transport industry.
We began by mapping relevant datasets and removing PII.
Next, we designed a licensing framework for sharing data with startups and research centers – including clear usage restrictions, ethical guidelines, and commercial terms.
Outcome:
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First B2B data license signed with an AI startup from Germany
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3x return on existing IT infrastructure investment
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Positioned as an “AI-ready” data partner in EU innovation programs
From Internal Insights to a Data-as-a-Software Offering
Sector: Retail / FMCG Chain
Challenge:
The company used BI tools for internal sales analytics but realized that many of their smaller retail partners lacked analytical capabilities.
They wanted to offer part of their insights as a service, but weren’t sure how to do so without exposing sensitive data.
Our Approach:
Through a Data Monetization strategy, we developed a white-label analytics interface – a Data-as-a-Software (DaaS) solution showing aggregated insights on trends and seasonality.
We designed a subscription model for partners, with legally defined usage boundaries and safeguards to protect the company’s competitive edge.
Outcome:
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New passive income stream (~12% additional revenue in year one)
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Increased loyalty among smaller partners and faster adaptation across the retail chain
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Strengthened market position as a leader in digital retail ecosystems
What you don’t see can cost you - or save you.
Sector: Energy / Electricity Distribution
Challenge:
The client had advanced IoT sensors installed across their electricity distribution network but was using the data only for basic monitoring.
There was no strategy in place to leverage the data for cost
optimization – and monetization hadn’t even been considered.
Our Approach:
We began with a Value Discovery analysis: identifying patterns of failure, overload, and energy loss.
Using predictive analytics, we developed a model for preventive maintenance.
Internal monetization came through reduced costs and improved efficiency, while a portion of the aggregated and anonymized data was offered to universities and partners as an open dataset for AI testing.
Outcome:
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17% reduction in operational maintenance costs
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Participation in an EU HORIZON AI research project as a data provider
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Elevated public image as a digitally responsible company