Data Quality — A Real Asset For Modern Businesses
In today’s scenario when most companies are heavily dependent on information technology, an integral set of data becomes a real asset. Unlike other assets, such as cash, jewellery and property, data is much more prone to being corrupt or can lose its importance due to some trivial errors in handling or storage. This is why several companies spend large amounts of money each year to make sure their data remains safe, accurate, and useful for the purposes it has been stored for.
Considering the importance of integrity of data, several companies, such as investment banks, large I.T. firms, equity research firms etc, are taking initiatives to employ data governance teams. These data governance teams are primarily responsible for ensuring that the data remains correct and useful at every stage of its lifecycle. They make use of several data quality management techniques, including data profiling, data cleansing and data quality assurance etc. You can read more on the data cleansing services webpage – click here.
These techniques ensure that dirty data is extracted out of the system before it may cause other pieces of data to get corrupted. Despite its obvious advantages, several companies still consider investing in data quality management as a financial overhead and are averse to spending money in improving and maintaining the data quality.
However, it is sensible to weigh its cost against the advantages it offers. For instance, it can protect an investment bank from potential reputational and operational risk if they maintain an adequate level of data integrity. Another example explaining the importance of data quality may be an e-mail marketing company. If e-mail addresses stored in their systems are incorrect or incomplete, they can lose on a good number of potential recipients, which could adversely impact the resultant outcome of their e-mail marketing campaigns.
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