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Data

Data does not have to be big to cause trouble

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Data does not have to be big to cause trouble

In the third part of our series on best modelling practices, we look at the issue of timely data. How can you best plan out your data journey with your client right from the start and what do you do when things change or data turns out to be out of reach?

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