Data Quality Management
Data quality is a critical data element and is essential to ensuring proper data management. Data quality refers to degree to which data is accurate, complete, reliable, consistent, timely, and relevant to its intended users. Data Quality Management (DQM) refers to the set of practices, and methodologies taken by organizations to ensure data is of high quality and meets the needs of its users. Some of the key aspects of DQM are identifying relevant problems in data quality, doing root cause analysis on the problems, creating solutions on basis of the root cause analysis, creating standards and metrics to establish degree of data quality and monitor the overall process to establish a high degree of data quality.
Being a data-driven firm, Coforge has the right set of policies in place ensuring proper care of Data quality across its clientele and uses industry leading software and best practices to maintain high quality of Data.