Data management is a collection of practices and processes used by organizations to collect information, consolidate, validate arrange, and archive data, as well as manage the lifecycle of data assets. It enables businesses to create high-quality information that aids in business decision making and drives action.
Whether you’re looking to improve the customer experience or develop cutting-edge generative AI applications, having quality data is essential to success. Modern data management solutions provide improved visibility, reliability and security and can be scalable to meet the needs of both business users as well as IT.
In addition to providing accurate data, effective management will ensure that you have the resources you need to accomplish your goals, from cybersecurity tools and staff training to third-party audits and regulatory compliance. It is easy to invest in areas not in line with your data management plan without clearly articulating goals or having a plan to meet them.
Data management is important
As the volume, 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, your organization could lose the potential value of the data, and may be at a disadvantage against competitors who have these principles in place.
https://taeglichedata.de/maintaining-data-processes-throughout-the-information-lifecycle/