What are you trying to achieve with your data?
To figure out the specific plan you need, you first need to know what you want to achieve. Imagine your business is new to the gym. Want biceps bigger than Arnie? Hit a faster serve than Serena? Swim like Michael Phelps?
Each of these objectives requires a drastically different approach – and it’s exactly the same when it comes to data quality. You could be a foodservice establishment trying to keep tabs on food allergen information for the food you are serving. If so, you’ll need your ingredients, supply chain and labelling data to do some heavy lifting so that you aren’t getting this wrong a point of sale.
Alternatively, you might need data to increase your business’s flexibility. Perhaps you are a retailer trying to keep up to date on the latest retail trends and prices, and adjust your products accordingly.
When you’ve figured out what you want to achieve with your data and identified the data plan that’s right for you, you can decide what ‘good data’ should like. Then, the real fun begins.