Data management is the method by which businesses store, manage, and secure their data to ensure that it is reliable and usable. It also encompasses processes and technologies that support these goals.

The data that is utilized to run a lot of businesses is gathered from multiple sources, compiled in various systems, and delivered in various formats. It can be difficult for engineers and analysts to locate the data they need for their work. This can lead to incompatible data silos in which data sets are inconsistent, as well as other issues with data quality that may limit the usefulness of BI and analytics applications and lead to incorrect conclusions.

A process for managing data improves transparency, reliability, and security. It helps teams better understand customers and deliver the appropriate content at the right time. It's essential to establish precise data goals for the business, and then devise the best practices to grow with the company.

A good process, like, should support both structured and unstructured, as well as sensors, real-time, batch and IoT workloads, and provide pre-defined business rules and accelerators, plus tools based on roles that aid in the analysis and prepare data. It should be scalable enough to adapt to look at more info the needs of any department's workflow. In addition, it should be able to accommodate various taxonomies and allow for the integration of machine learning. In addition it should be accessible through built-in collaborative solutions as well as governance councils to ensure consistency.