Data management is a computer science term that deals with the management of data in a company, an organization or an individual context. It covers the entire life cycle of data, from its creation and collection through to storage, processing, analysis and disposal.
The aim of data management is to ensure that data is correct, up-to-date, accessible and protected. Effective data management can help companies make informed decisions, minimize risks, optimize operations and improve efficiency.
Data management involves a variety of processes and technologies, including databases, data archiving, data warehousing, data mining, data governance and data quality management. It also requires compliance with data protection regulations and guidelines.
An important component of data management is Master Data Management (MDM), which focuses on the management of key data such as customer, product and supplier information. The aim of MDM is to ensure that this data is consistent and up-to-date, regardless of where it is used in the company.
Overall, data management is of crucial importance for companies of all sizes and industries. Effective data management can help gain competitive advantage and drive growth, while poor data management can lead to poor decisions, delays and other problems.
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