Data management refers to the set of practices and procedures that organizations use to collect information and consolidate it, validate it, organize and archive it, as well manage its lifecycle. It helps businesses create high-quality data that supports business decision-making and inspires actions.
Quality data is crucial to your success, whether to improve customer experience or create cutting-edge generative AI applications. Modern data management tools provide improved visibility, reliability, security, and scalability to meet the requirements of business users and IT.
In addition to ensuring accurate data, effective management can ensure that you have the resources you need to accomplish your goals, from cybersecurity tools and staff training to third-party audits and regulatory compliance. If you don’t have clearly defined objectives or a clear strategy for how to get there, it can be easy to invest in areas that don’t fit with your data management plan.
The importance of managing data
As the quantity and variety of data continue to grow across all industries, it’s more important than ever to establish solid Data Management principles in place. Without them, you may lose the value of your data and be in a position of disadvantage to competitors that have embraced these principles.
https://taeglichedata.de/information-lifecycle-management-establishing-data-processes/