Data management is a set or practices and processes that companies employ to collect data, consolidate, validate, archive, and organize data and to manage the life-cycle of data assets. It allows businesses to produce high-quality data which supports business decision-making and can drive action.
Quality data is crucial to your success, whether you want to improve customer experience or create cutting-edge artificial intelligence (AI) or AI applications. Modern data management solutions provide improved visibility, reliability, security and scalability to support the needs of business customers and IT.
Effective management does not just guarantee accuracy of data, but also that you have the resources needed to meet your goals including third-party audits, training of staff and compliance with regulatory requirements. It is easy to invest in areas not that are in line to your data management plan without clearly defining goals or having a strategy to achieve them.
Data management is crucial
As the volume and variety of data continues to increase across all industries, it’s important than ever to have solid Data Management principles in place. Without them, you could lose the value of your data and put yourself in a position of disadvantage against competitors who have implemented these principles.
https://taeglichedata.de/information-lifecycle-management-establishing-data-processes/