Explain What does data quality mean?

Data quality is about making sure the information a business uses is correct, clear, and useful. When data is in good shape, it helps teams work better, make smarter decisions, and avoid costly mistakes. It means the details collected are complete, up to date, and make sense in the context they are used. To keep data in good condition, many businesses use data quality tools. These tools help clean up messy information, fix mistakes, and make sure everything is written in the same format. For example, if customer names are spelled in different ways across systems, these tools can fix that so there’s no confusion. Keeping information clean is not a one-time task. This is where data quality management plays a role it’s the ongoing effort to keep information accurate, organized, and easy to use across the company. It’s about setting up regular checks and clear steps for how data should be handled. This helps people across the company use the same, correct information every time. Understanding what is data quality means knowing how much a company depends on good information. Whether it’s for customer service, sales, or reporting, the quality of data directly affects the results. Strong data quality builds trust, saves time, and supports better decisions at every level of a business.