Data & AI as a strategic productivity lever
Data products and AI applications offer more than just insights – they create a solid basis for decision-making, enable more efficient processes, strengthen the controllability of organizations and generate market opportunities and revenue. But only those who think strategically about data and AI, have technical mastery and embed it in their organization will achieve added value for their business.
We support companies in implementing data and AI strategies with our msg AI Transformation Framework – across all hierarchical and functional levels. The result: greater transparency, better acceptance and measurable ROI from data initiatives.
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Accelerate decision-making
Increase user acceptance
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Increase ROI
Operationalization of data and AI strategies
Many organizations today have a data and AI strategy – but no functioning implementation. We analyze the fit gap between strategy and operational reality, specify data and AI initiatives in the form of concrete use cases, and evaluate the procedural maturity of data management.
In addition, we check whether the organizational, technical and budgetary requirements for implementation have been met – and provide support in developing viable implementation plans.
The aim is to significantly increase the effectiveness of data-related strategies – through concrete portfolio management, clear prioritization and realistic implementation paths.
Data & AI organization and governance
A data-driven organization needs more than just tools – it needs clear structures, roles and responsibilities. Based on the overarching data and AI strategy, we design suitable collaboration models, define governance structures and structurally secure issues such as data quality, protection and security.
This results in concrete tasks, role models and process responsibilities. A maturity model creates transparency about progress.
Through targeted integration of the specialist areas, we sustainably increase the data literacy of the entire organization.
The aim is to systematically increase the organizational maturity level – and thus enable the sustainable anchoring of data-based control.
Katrin Aytepe
Managing Director msg for automotive