Data management refers to the set of processes and practices that organisations employ to collect data and consolidate it, validate it, arrange and archive it, as well manage its lifecycle. It enables businesses to create and provide high-quality information that aids in business decision-making and is the basis for action.

Quality data is crucial to your success, whether you want to improve customer experience or develop cutting edge artificial intelligence (AI) or AI applications. Modern solutions for managing data offer enhanced visibility, reliability and security, and can be scaled to meet the requirements of both business find users and IT.

Effective management doesn’t just ensure accurate data, but also that you have the resources required to achieve your goals, from third-party audits to staff training and regulatory compliance. However, without clearly articulated goals or a clear plan for achieving them it’s possible to invest in areas that don’t fit with your data management plan.

Data management is important

As the quantity and variety of data continue to grow across all industries, it’s important than ever to have solid Data Management principles in place. Without them, your company could lose the value of the data and end up being disadvantaged against those that have these guidelines in place.