Data management refers to the set of practices and procedures organizations use to collect information and consolidate it, validate it, arrange and archive it, as well manage its life cycle. It allows businesses to create quality data that supports business decision-making and can drive action.
The quality of your data is essential to your success, whether to improve customer experience or create cutting-edge machine learning AI applications. Modern data management solutions offer improved visibility, reliability and security, and can be scaled to meet the requirements of both business users and IT.
Effective management does not just guarantee accuracy of data, but also that you have all the resources needed to meet your goals from third-party audits to staff training and regulatory compliance. But, if you don’t have clearly defined goals or a plan https://taeglichedata.de/information-lifecycle-management-establishing-data-processes for how to get there, it can be easy to invest in areas that don’t fit with your data management plan.
Data management is important
As the volume and variety of data continue to grow across all industries, it’s important than ever to establish strong Data management principles in place. Without them, you may lose the value of your data and put yourself at a disadvantage compared to competitors that have embraced these principles.