DQM Insights | Sumble

What is DQM?

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.

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What other technologies are related to DQM?

DQM Complementary Technologies

Data Catalog

Data Catalogs provide metadata management and discovery capabilities that can enhance DQM efforts by providing context and lineage for data quality rules and metrics.

mentioned alongside DQM in 3% (68) of relevant job posts

MDM

Master Data Management (MDM) focuses on creating a single, consistent view of critical data entities. DQM is essential for ensuring the quality of data that feeds into and is managed by MDM systems.

mentioned alongside DQM in 0% (102) of relevant job posts