Data management is the set of pflege von datenprozessen nach sitzungssaal practices and procedures that organizations employ to collect information and consolidate it, validate it, organize and archive it, and manage its life cycle. It helps businesses create high-quality data which supports business decision making and helps to drive the actions.
If you’re looking to enhance your customer experience, or create cutting-edge technology for generative AI applications, having high-quality data is essential to succeed. Modern data management tools provide enhanced visibility, reliability, security and scalability to support the requirements of business users and IT.
Effective management not only ensures accuracy of data, but also that you have the resources required to achieve your goals including third-party audits, staff training and regulatory compliance. It is easy to invest in areas that are not that are in line with your data management strategy without clearly articulating goals or having a plan to reach them.
Data management is crucial
It is more important than ever that Data management principles are in place, because the amount of data, its variety, and the velocity of data continue to increase across all industries. Without them, your company could lose the value of data and be in a position of disadvantage to those who have these principles in place.