With the scalability of automated DQM tools, companies can manage increasing volumes of data while maintaining quality, writes iOCO Qlik Data’s Carl Butler. IndustryInsight DataManagement
In today's data-driven world, organisations recognise data is no longer just an asset but a critical component of their overall business strategy. Data powers everything from strategic decision-making to operational efficiency.
While ensuring high-quality data can be a time-consuming and expensive undertaking, it's important to weigh the costs against benefits and look for strategies to use new developments in technology to save on this essential expenditure. Fortunately, augmented data integration tools have allowed data pipeline projects to be streamlined through automation and thus are less manually-intensive. This really helps to speed up the process of getting meaningful and real-time information for the business to consume.
Additionally, these tools can help businesses establish clear policies for data governance, ensuring it is managed in a compliant and secure manner. With the scalability of automated DQM tools, companies can manage increasing volumes of data while maintaining quality.Decision-making based on high-quality data leads to improved customer satisfaction, increased revenue and reduced risk.
It used automated DQM and master data management tools to monitor data usage and track changes, which in turn guaranteed compliance, while at the same time protecting customer data. This helped to build trust with customers and stakeholders, enhancing its reputation as a responsible and trustworthy organisation.Automated DQM and MDM tools are essential for modern businesses to manage data effectively and leverage its full potential.
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