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The main obstacle with any developed data analytics function is the bottleneck of data and skillset – the more central intelligence you have, the more outer teams want to use it, so you need to find a way of allowing data and insights to flow.

If data is so complex that only your highly paid data wizards, how can make sense of it?

Here’s one methodology that we’ll discuss in detail, the Data Mesh:

1. A decentralised data structure with domain/product teams who own the analytical and operational data:

2. Self-serve infrastructure, data products and federated governance.

3. A data-driven decision-making culture across the organisation.