https://taeglichedata.de/maintaining-data-processes-throughout-the-information-lifecycle

Data management is a set of practices and processes that companies employ to collect data, consolidate, validate, arrange, and archive data and to manage the life-cycle of data assets. It helps businesses create quality data that supports business decision making and inspires actions.

The quality of your data is essential to your success, whether you want to improve customer service or create cutting-edge AI applications. AI applications. Modern data management tools provide enhanced visibility, reliability and security, and can be scalable to meet the requirements of both business users as well as IT.

Effective management does not just guarantee accurate data but also that you have the resources required to achieve your goals including third-party audits, training of staff and compliance with regulatory requirements. It is easy to invest in areas that are not aligned to your data management plan without articulating your goals clearly or having a plan to reach them.

The importance of data management

As the quantity and variety of data continues to increase across all industries, it’s more important than ever to have solid Data Management principles in place. Without them, your organization may lose the potential value of data, and may be in a position of disadvantage to those who have these principles in place.