The data you need, the data you don’t
But the data available and the data you need are not always the same. There’s data that’s useful to you, data that’s legally needed, and data that is superfluous. A successful data strategy knows the difference. It concentrates on collating data that ticks the right boxes and enables your data goals – whether that’s improving a product , making your manufacturing process more efficient or conforming to a new set of regulations – and works on making sure that data is fit for purpose throughout the supply chain, through initiatives like data quality and data governance.
In the tea making example, your goal is to make a perfect cup of tea. The use-by date of the milk is pretty vital data to make that tea drinkable. The brand name of the kettle probably isn’t. In manufacturing, collating data you don’t need won’t help you – but guaranteeing the accuracy of the data you do need is vital.