DQM typically refers to Data Quality Management. It encompasses processes and technologies used to ensure data is fit for its intended purpose. This includes activities such as data profiling, data cleansing, data standardization, data matching, and data monitoring. DQM is commonly used to improve the accuracy, completeness, consistency, and timeliness of data, leading to better decision-making and operational efficiency.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
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