Data management is a set of practices and procedures organisations employ to collect data, consolidate it, validate it, arrange and archive it, as well manage its lifecycle. It enables businesses to create quality data that supports business decision making and can drive actions.

Quality data is essential to your success, whether you wish to improve customer service or create cutting-edge artificial intelligence (AI) or AI applications. Modern data management tools provide enhanced visibility, reliability, security, and scalability to meet the needs of business users and IT.

Effective management doesn’t just ensure accurate data, but also that you have all the resources required to achieve your goals from third-party audits to training for staff and regulatory compliance. It is easy to invest in areas that are not compatible with your data management strategy without clearly articulating goals or having a plan to reach them.

The importance of managing data

As the amount and variety of data continues to increase across industries, it’s vital than ever to have solid Data management principles in place. Without them, your company could lose the potential value of data and end up at a disadvantage against competitors who have these principles in place.

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