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How companies can reduce the risk of data errors

Rachel Wheeler Archive

Having deep and reliable banks of data on one's customers is a key ingredient of success in virtually any line of work - perhaps especially in retail, where it helps to know your customers and identify specific strategies for marketing and sales. If you have a great deal of information about your patrons, including how to contact them and complete transactions, it can make a big difference.

Unfortunately, errors in data quality have become far too common. Companies are looking to increase their supply of customer information at a record pace, and as they step up their efforts, they often become hasty and make mistakes. Some are human errors, resulting from employees making missteps - others are more technological in nature.

According to TechRadar, it's important to address every kind of data quality error in order to have a clearer overall path to business success. Jeffery Brown, product manager at data specialist Infogix, told the news source that a holistic approach to data is necessary.

"There are three components to reducing the risk of data errors - focus on people, process, and technology," said Brown. "By ensuring that people understand the data, what are the guidelines to follow, and how to improve data quality, organizations can reduce risk greatly.  Through a proper process, companies can implement the appropriate data governance initiatives and framework, which creates structure and accountability to data.  Lastly, technology is the tool to help realize this reduction in data errors."

He explained that an IT department is like an assembly line, where each department within a company plays its own role in the collective machine. People, process and technology can all work together to help a company do more with data - people do the work, the process continues efficiently and technology allows for businesses to apply their data in more customizable and scalable ways.