Data management is a set of practices and processes that organizations use to collect data, consolidate, validate, organize, and archive information and to manage the life-cycle of data assets. It helps businesses create high-quality information that aids in business decision-making and helps to drive actions.
Whether you’re looking to improve your customer experience, or create cutting-edge generative AI applications, having quality data is essential to succeed. Modern data management solutions provide greater visibility, reliability, security, and scalability in order to meet the needs of business users and IT.
Effective management does not only guarantee accuracy of data, but also that you have all the resources to reach your goals from third-party audits to staff training and regulatory compliance. It is easy to invest in areas not in line with your data management plan without clearly defining goals or having a plan to reach them.
The importance of managing data
As the amount, variety and velocity of data continues to increase across all industries, it’s more important than ever to have solid Data Management principles in place. Without them, you may lose the value of your data and put yourself in a disadvantage against competitors who have implemented these principles.
https://taeglichedata.de/maintaining-data-processes-throughout-the-information-lifecycle