Data management is the set of practices and procedures that organisations employ to collect data and consolidate it, verify it, organize and archive it, and manage its lifecycle. It enables businesses to create quality data that supports business decision making and helps to drive action.
Quality data is crucial to your success, whether you are looking to improve customer service or create cutting-edge generative AI applications. Modern data management solutions provide greater visibility, reliability, and security and can be scaled to meet the needs of both business users as well as IT.
Effective management not only ensures accurate data but also that you have the resources needed to meet your goals including third-party audits, training for staff and regulatory compliance. But, if you don’t have clearly defined goals or a clearly defined plan for achieving them it’s easy to invest in areas that don’t fit with your overall strategy for managing data.
The management of data is vital.
As the volume, variety and velocity of data continues to increase across industries, it’s more vital than ever to have solid Data management principles in place. Without them, you could lose the value of your data and put yourself in a disadvantage to competitors that have embraced these principles.
https://taeglichedata.de/verwalten-von-datenprozessen-mit-data-center-management-anwendungen
