Getting data to work accurately is one of the main priorities most companies have across different industries. Nowadays, inaccurate data means real-world implications that could lead the business to big problems – for example, in finance, inaccurate data can mean violation of regulations and compliance, in healthcare could mean making a mistake when caring for a patient.
 
So data accuracy is not just something to be considered inside data quality, it’s a key characteristic that makes data something reliable to be read, analyzed and used on the most important decision-making inside companies.  
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