Data management is the process by which businesses store, manage, and secure their data to ensure it remains safe and useful. It also includes the technologies and processes that help achieve these goals.

The data that powers most companies comes from a variety of sources, is stored in a variety of locations and systems and is usually delivered in a variety of formats. It is often difficult for engineers and data analysts to find the information they need for their work. This leads to incompatible data silos and inconsistent data sets, in addition to other data quality problems that limit the utility and accuracy of BI and Analytics applications.

A process for managing data improves visibility, reliability and security. It helps teams better comprehend the needs of customers and provide proper content at the https://taeglichedata.de/ right time. It is crucial to establish precise data goals for the business, and then devise the best practices to expand with the company.

For instance, a reputable process should accommodate both unstructured and structured data, in addition to real-time, batch and sensor/IoT workloads–while offering out-of-the-box accelerators and business rules, as well as self-service tools based on roles that allow you to analyze, prepare and clean data. It must also be scalable to adapt to the workflow of any department. It should also be flexible enough to allow machine learning integration and to accommodate various taxonomies. Additionally it should be available through built-in collaborative solutions as well as governance councils to ensure the consistency.