Why a strong Data Operating Model is no longer optional

To turn a data strategy into real business impact, organizations need more than just ambition – they need structure. A well-defined Data Operating Model ensures alignment between people, processes, and technology while embedding governance, quality, and accountability. It transforms data from a fragmented challenge into a trusted, well-managed asset that drives long-term success.

In today’s industry, data is more than just an asset – it is a fundamental cornerstone for business innovation, regulatory compliance and strategic decision-making. However, many organizations struggle to harness its true value due to fragmented ownership, inconsistent governance, and a lack of alignment between IT and business priorities. Thereby, a structured approach to data handling is essential. A Data Operating Model (DOM) provides the structured framework needed to operationalize data strategy, embedding governance, quality, and literacy across the organization. It ensures that data isn’t just collected but trusted, well-managed, and leveraged for maximum business impact. To build a resilient and scalable DOM, organizations need a cohesive approach closely aligned with data vision and strategy. The Data Management Capability Assessment Model (DCAM) offers a powerful methodology to design, assess, and continuously refine data management practices, creating a standardized, future-ready foundation for enterprise-wide data excellence. In this article, we’ll explore why a Data Operating Model is critical for business success and how organizations can implement, scale, and sustain it effectively.

“A Data Operating Model (DOM) provides the structured framework needed to operationalize data strategy, embedding governance, quality, and literacy across the organization. It ensures that data isn’t just collected but trusted, well-managed, and leveraged for maximum business impact.”

Florian Bislin – Manager, Business Technology, Enterprise Transformation

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