The Importance of Data Quality

Because bad data quality doesn’t just slow you down — it costs you.

If you’ve ever tried to make a big decision and realised halfway through that the numbers don’t quite add up… you already know the pain of poor data quality.

It’s a bit like trying to cook dinner with half the ingredients missing and the rest past their sell-by date — no matter how good your recipe is, the outcome won’t be great.

Data quality isn’t just about tidy spreadsheets. It’s about trust. Every report, dashboard, and customer decision depends on accurate, consistent, and up-to-date information. If your data’s wrong, your choices will be too — and that’s where things start to unravel.

The truth is:

Most organisations don’t notice poor data quality until it’s already caused damage — from lost sales and wasted marketing spend to compliance headaches and reputational hits.

Good data quality gives you clarity and confidence. It means your teams stop second-guessing the numbers and start focusing on what they do best: solving problems, spotting opportunities, and moving faster.

And it doesn’t have to be complicated. Start small:

• Agree on what “good data” means for your business.

• Keep your sources clean and consistent.

• Make someone accountable for checking and maintaining it.

  
  

Great data quality doesn’t just make your life easier — it makes your whole organisation smarter.