Data management is a set of practices and procedures that businesses employ to collect data, consolidate, validate, store, and archive data and to manage the lifecycle of data assets. It helps businesses create and deliver high-quality data that helps in business decision-making and drives actions.
Whether you’re looking to improve the customer experience or create cutting-edge generative AI applications, having reliable data is vital to success. Modern data management solutions provide greater visibility, reliability, and security and can be scalable to meet the demands of both business users and IT.
In addition to ensuring the accuracy of data, effective management can ensure that you have the resources to achieve your goals – from cybersecurity tools and staff training, to third-party audits and regulatory compliance. But, if you don’t have clearly defined goals or a clearly defined plan for how to get there, it can be easy to invest in areas that aren’t aligned with your data management plan.
The management of data is vital.
It is more important than ever that Data Management principles are in place, as the volume as well as the variety and velocity of data continue to increase across all industries. Without them, you may lose the value of your data and put yourself at a disadvantage compared against competitors who have implemented these principles.