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Should new staff equal new data inconsistencies? Here’s our take on it.

Author
Lacey Webb
Date
25/01/2022
Good data structures improve processes and help staff collect good information, even when they're not experienced

Why do inconsistencies increase when new staff take over from seasoned workers? It’s not just that they’re new.

In our experience, this is often a direct consequence of the way data systems are configured.

Long-term staff often compensate for having data inadequately set up in their systems by creating (sometimes complicated) work-arounds, performing manual fix-ups and making post-transactional adjustments – all of which end up hiding inaccurate system set-ups. These processes become second nature to long-term staff and contribute to operations running smoothly, if not particularly efficiently!

New staff, however, don’t know these “work-arounds”, and may not have learned ‘tips & tricks’ from their more experienced colleagues – they use the system as it’s configured and the more inconsistencies that exist, the more errors that occur.

If inconsistencies increase, warnings and errors double and triple as new people come onboard – it could be as simple as looking at the way your systems are set up to set your staff up for success.  

Looking at a data structures to make sure they are set up clearly, that they are relevant to your team and that they do not prompt ambivalent or unnecessary decision-making processes will provide more accuracy for decision making data. It will also remove the need for corrections and streamline transactional processes, making gatehouse/weighbridge transactions faster and more efficient.

If your operation is struggling with finding efficiencies, and you are picking up more data inconsistencies than normal, you could benefit from our remote admin data cleansing service.

Reach out, as we would love to help!

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