Data management is a set of procedures and processes used by organizations to collect, consolidate, validate, archive, and organize data as well as to manage the lifecycle of data assets. It enables businesses to create high-quality data that supports business decision making and drives action.

Whether you’re looking to improve the customer experience or create cutting-edge machine learning AI applications, having quality data is vital to success. Modern data management solutions offer enhanced visibility, reliability and security, and can be scaled to meet the demands of both business users and IT.

Effective management does not only guarantee accurate data, but also ensures that you have the resources required to achieve your goals from third-party audits to training for staff and regulatory compliance. It is easy to invest in areas that aren’t compatible with your data management plan without defining your goals clearly or having a plan for achieving them.

The importance of managing data

It is more crucial than ever to ensure that Data management principles are https://taeglichedata.de/pflege-von-datenprozessen-nach-sitzungssaal in place since the volume, variety, and velocity of data continue to increase across industries. Without them you could lose the value of your data and put yourself in a disadvantage to those who have adopted these principles.