Data management refers to the set of processes and practices that organisations employ to collect data, consolidate it, validate it, arrange and archive it, and manage its life cycle. It allows businesses to create and deliver high-quality data that aids in business decision-making and is the basis for the actions.

The quality of your data is essential to your success, whether you wish to improve customer service or develop cutting edge AI applications. AI applications. Modern data management solutions offer increased visibility, reliability and security, and can be scaled to meet the requirements of both business users and IT.

In addition to providing accurate data, effective management can ensure that you have the resources to reach 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 that are in line with your data management strategy without articulating your goals clearly or having a plan to reach them.

The importance of managing data

It is more important than ever that Data Management principles are in place, since the volume of data, its variety, and the velocity of data continue to grow across industries. Without them, your business could lose the value of data and be at a disadvantage against competitors that have these guidelines in place.

https://taeglichedata.de/information-lifecycle-management-establishing-data-processes/