Data management is a set of procedures and processes that organizations use to collect and consolidate, validate, organize, and archive information and manage the lifecycle of data assets. It helps businesses create quality data that supports business decision-making and inspires actions.

If you’re looking to enhance the customer experience or develop cutting-edge technology for generative AI applications, having quality data is essential to success. Modern data management solutions provide enhanced visibility, reliability and security and can be scalable to meet the demands of both business users and IT.

In addition to providing accurate data, effective management can ensure that you have the resources to achieve your goals – from cybersecurity tools and staff training to third-party audits and regulatory compliance. It is easy to invest in areas that are not in line with https://taeglichedata.de/information-lifecycle-management-establishing-data-processes/ your data management plan without articulating your goals clearly or having a plan for achieving them.

The importance of managing data

As the amount, variety and velocity of data continue to grow across industries, it’s vital than ever to have solid Data management practices in place. Without them, your business could lose the value of the data and end up in a position of disadvantage to those who have these principles in place.