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Too centralized, and business teams get stuck waiting. Too federated, and you lose consistency and control. Finding the right data operating model isn’t about choosing one side—it’s about knowing what to centralize, what to federate, and how to align teams around shared goals. In our latest blog, we unpack: ✅ The hidden costs of getting the balance wrong ✅ Why service-level thinking beats one-size-fits-all models ✅ How blueprinting your data services drives clarity and impact ✅ Practical guidance for business and data leaders If your teams are battling bottlenecks, shadow IT, or dashboard sprawl—it’s time to rethink your approach. Read the blog in the comments. Author: Reid Colson

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