Data management is the set of procedures and practices organisations employ to collect data and consolidate it, validate it, organize and archive it, as well manage its lifecycle. It allows businesses to create quality data that supports business decision making and inspires actions.
Data quality is vital to your success, whether you want to improve customer experience or create cutting-edge machine learning AI applications. Modern data management tools provide improved 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 that you have https://taeglichedata.de/information-lifecycle-management-establishing-data-processes all the resources to reach your goals including third-party audits, staff training and regulatory compliance. However, if you don’t have clearly articulated objectives or a clear strategy for achieving them, it can be easy to invest in areas that aren’t aligned with your data management strategy.
The importance of data management
It is more important than ever before that Data management principles are in place, since the volume of data, the variety, and speed of data continues to grow across all industries. Without them, your business could lose the potential value of data, and may be being disadvantaged against those who have these rules in place.