What Is Data Management?

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Data management is how companies store, collect, and secure their data to ensure it remains reliable and usable. It also includes the tools and processes that support these goals.

Data that is used to run the majority of companies is gathered from various sources, and stored in a variety of systems, and subsequently delivered in different formats. It can be difficult for engineers and analysts to locate the data they require for their work. This leads to incompatible data silos and inconsistent data sets, in addition to other issues with data quality that can limit the usefulness and accuracy of BI and Analytics applications.

A process for managing data improves visibility, reliability and security. It also allows teams to better understand their customers and deliver the most relevant content at the appropriate moment. It’s important to start with clear business goals and then formulate a set of best practices that will expand as the business grows.

For instance, a successful process should support both unstructured and structured information in addition to real-time, batch and sensor/IoT tasks. In addition, it should provide out of the box accelerators and business rules along with self-service tools based on roles that allow you to analyze, prepare and clean data. It should be scalable enough to meet the requirements of any department’s workflow. It must also be flexible enough to allow machine learning integration and support different taxonomies. It should also be easy to use, and include integrated solutions for collaboration and governance councils.

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