Data Management is the practices and processes that make information an asset to the company, driving innovation and decision-making. It is the process of efficiently collecting data, organizing, protecting and storing data to provide an unrivaled source of information.
Effective data management can aid companies in gaining a competitive edge by enhancing the efficiency of their operations and reducing expenses. It allows them to enhance the customer experience, maximize their resources, speed up decision-making and react faster to market shifts. It can also reduce privacy and security concerns that could damage the reputation of an organisation, increase costs of compliance and create legal liability.
Nowadays, companies get information from many sources that include software as a service and application programming interfaces (APIs) mobile apps, and Internet of Things (IoT) devices. A data management strategy that integrates these sources can provide a single source for reliable, consistent data. It can also decrease the amount of information that must be stored and processed. This will save on storage costs, and reduce processing load.
In a world dominated by data, it’s vital that those who work with it are able to find what they need quickly and efficiently. It can be difficult to navigate through a complicated data-driven world that is expanding more complex, particularly if you do not know how all the systems work together. Data management tools can ease this challenge by allowing better visibility of data assets via catalogs or metadata-driven data dictionaries as well as data lineage records. It can also make it easier for data scientists and analysts to find data, analyze and access it.
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