For a modern grid operator, digitalisation is no longer merely supportive — it is mission-critical. At Enexis, we increasingly see that trusted, reusable and well-managed data is becoming just as important as physical infrastructure in enabling strategy execution. At the same time, much of the raw data in operational systems still exists primarily as a by-product of operational processes, while the current BI and reporting chain is large, complex and costly. That makes the need for a stronger data foundation both urgent and highly practical. In this presentation, we will explain the direction Enexis is taking and the central role that data products play in that journey. Our key premise is that data products are not just one delivery mechanism among many, but the core concept we use to connect and structure almost all data activities. They bring together value, ownership, architecture, data quality, context, access control, compliance and operational support into one coherent model. We will show how this comes together in our target landscape of source data products, core data products and business data products. Source products make operational data structurally available. Business data products support specific use cases and decision-making. Core data products form the most critical and challenging layer in between: they help create shared meaning, trusted definitions, consistent structures and reusable data that can serve multiple teams and processes across the organisation. A crucial part of our perspective is that building these data products — and especially the core data products — is not something IT can solve in isolation. While technology and platforms are important enablers, the real design questions are about meaning, ownership, quality, business rules and cross-domain alignment. Those questions can only be answered properly by the business, because that is where the operational reality, the semantic context and the accountability for the data originate. In that sense, data products are as much an organisational and business transformation as they are a technical one. This approach is enabled by a shared and resilient platform, with central attention for metadata, lineage, meaning, ownership, interoperability and controlled reuse under clear conditions. But the platform alone is not the answer. The real shift is in recognising that the parts of the organisation where data originates must also play a leading role in making that data reusable, understandable and trustworthy for others. We will also address a question that many organisations are struggling with: how do you make data product quality and maturity tangible enough to steer on? At Enexis, we use a maturity framework and medal system to guide teams in improving their data products. This framework helps make expectations explicit, supports constructive conversations on quality, and gives teams a practical path to grow from basic readiness to robust, trusted and future-proof data products. Rather than presenting a finished end state, this session shares an honest and practical story: why we believe this direction matters, how we are shaping it, what we are learning, and which questions we are still working through. We will illustrate this with concrete examples and use cases, showing how a strong data foundation and excellent data products can accelerate execution, improve customer-facing processes and support the energy transition.