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Data management refers to the set of processes and practices that organizations employ to collect information to consolidate, validate it, arrange and archive it, and manage its life cycle. It enables businesses to create and deliver high-quality data that supports business decision-making and can drive action.

If you're looking to enhance your customer experience, or create cutting-edge technology for generative AI applications, having reliable data is essential to success. Modern data management solutions provide increased visibility, reliability and security, and can be scalable to meet the demands of both business users as well as IT.

Effective management doesn't just ensure accurate data, but also ensures that you have the resources to reach your goals including third-party audits, staff training and regulatory compliance. If you don't have clearly defined goals or a clear plan for how you can achieve them, it can be easy to invest in areas that don't align with your strategy for managing data.

The management of data is vital.

It is more vital than ever to ensure that Data management principles are in place since the volume as well as the variety and velocity of data continue to increase across industries. Without them, you could lose the value of your data and put yourself in a disadvantage against competitors who have implemented these principles.

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