To view the infographic full-size in high-res, download the pdf here.

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When complex organisations approach complex data challenges, there are a 5 key factors to keep in mind:

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1) Data is a business problem first

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If you approach it technology-first your data project is unlikely to deliver the expected business value.

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2) Data is valuable at the point of consumption, not production or storage

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Accumulating data in a data lake or similar doesn’t in itself solve any business problem.

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3) Data is never just an integration problem

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Useful data will cross domains and will be combined with data from different domains as well.

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4) Data interoperability is vital to create value

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Reuse of the same data needs to be available in different contexts so it needs to be described through strong contracts that cover form, semantics and attributes.

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5) Data discovery is an essential part of data democratisation

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People who need to consume a specific data set in an organisation are often not the ones who own it or understand it.

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If you want to be competitive, you need to sort your data constraints, and that's where Mesh-AI can help. Identify the areas in your organisation that require the most attention and solve your most crucial data bottlenecks. Download our Data Maturity Assessment & Strategy Accelerator eBook.

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