What Is Data Management?

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Data management is a strategy to the way companies collect, store and secure their data, ensuring that it remains reliable and actionable. It also includes the methods and technologies that help achieve these goals.

Data that is used to run most companies is gathered from multiple sources, and stored in a variety of systems, and then delivered in different formats. It can be difficult for engineers and data analysts to find the information they need for their work. This creates incompatible data silos, data sets that are inconsistent and other issues with data quality that can limit the effectiveness of BI and analytics software and lead to faulty findings.

Data management processes improve visibility, reliability, and security. It can also help teams better understand customers and deliver the most relevant content at the appropriate moment. It is crucial to establish precise data goals for the company and then establish the best practices to evolve with the company.

A efficient process, for instance it should be able to handle both structured and unstructured data as well as sensors, real-time, batch and IoT tasks, and offer pre-defined business rules and accelerators. Additionally, it should offer tools that can be used to analyze and prepare data. It must also be scalable to be able to adapt to the workflow of any department. Furthermore, it should be able to handle different taxonomies as well as allow for the integration of machine learning. It should also be easy to use, and include integrated collaborative solutions and governance councils.