Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data. Image: freshidea/Adobe Stock Data is at the ...

The issue of duplicate data will be taken care of if an organization follows a good master data management (MDM) practice. As a non-transactional data process, MDM will define the condition of ...

Master data is a key organizational data asset that contains the most up-to-date and accurate information for day-to-day business operations. The ongoing practice of creating and managing the ...

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

Data management remains a major issue for healthcare organizations as the amount of data generated and stored by them is growing rapidly, making it difficult to manage this information with ...

While all of the issues mentioned are true, it is largely a solved problem. At the three IC manufacturers where I have worked in the last 20 years I can sit down at a computer request data by product, ...

Health plans are working together to solve issues in provider data management. ... Ahmad says many of the same problems that existed 20 years ago are still issues today. The credentialing process, ...

Risk-based quality management, or RBQM, is the process by which pharmaceutical organizations monitor and manage quality throughout clinical trials. By Gayle Hamilton and Adrian Kizewski on April ...