60% of AI projects fail due to poor data foundations. We help you build data foundations prepared for the future.
Fragmented data silos across departments preventing a unified business view
Data not ready for AI: 60% of AI projects fail due to poor data quality
Governance vs innovation tension: CDOs forced to prioritize compliance over value
Lack of unified vision: 53% of organizations lack talent to operationalize data strategies
Framework based on DAMA DMBOK and DCAM
Data maturity evaluation and current state diagnosis
Strategy design and transformation roadmap
Governance and data quality programs
Continuous improvement and evolution
Comprehensive data strategy services for enterprise transformation
Policies, standards and controls for effective corporate data management. Accountability and ownership frameworks.
Modern architecture technical design: data mesh, data fabric, lakehouse. Technology decision guidance.
Data preparation for generative AI and machine learning. Quality assessment and feature engineering.
Quality frameworks and continuous measurement. Quality KPI definition and validation automation.
Single source of truth creation for master entities. System synchronization and golden records.
Data culture and training. Data literacy programs for technical and business teams.
A complete data strategy project, including maturity assessment, architecture design and implementation roadmap, ranges between €30,000 and €80,000 for medium-sized companies. The documented ROI is 180% over 3 years according to industry benchmarks.
The maturity assessment and strategic roadmap are delivered in 4-6 weeks. The first data governance quick wins are implemented in 2-3 months. A complete data strategy transformation requires 6-12 months depending on the scope.
It is not necessary. Part of our service includes assessing your team's current capabilities and an upskilling plan. We also define which roles you will need in the medium term and help you with selection. Many companies start with 2-3 key profiles.
Data Mesh is an organisational approach that decentralises data ownership by business domain. Data Fabric is a technical architecture that automates integration and governance through metadata. We recommend a hybrid approach adapted to your current maturity.
We carry out an AI-readiness assessment covering data quality, volume, cataloguing and governance. 60% of AI projects fail due to poor data quality. Our framework includes cleansing, standardisation, feature engineering and the establishment of automated data pipelines.
Our proven methodology ensures measurable results at every stage.
See how this service applies to your industry.
Credit scoring, fraud detection and financial automation
Risk management, regulatory compliance, 360° customer view
Patient analytics, GDPR/HIPAA compliance, interoperability
Customer insights, inventory optimization, personalization
Data Mesh + Data Fabric: the best of both worlds for scalability and governance
Data preparation for the next generation of autonomous AI agents
The CDO role evolves towards CDAAO: Chief Data, Analytics & AI Officer
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