Data management involves grouping and organizing information files in a logical and simple to navigate. This lets staff quickly and easily locate the data that they need while ensuring that important data isn’t lost due to misplacement. The ideal scenario is for each file to be clearly linked to other files within the same folder as to the overall goal of the research. This is often accomplished by a simple structure of files which includes subfolders, as well as concise and clear names. A readme file that is placed at the top of a folder may be useful in guiding users to the structure.

Having an effective strategy for managing data is essential for businesses to stay ahead with the competition and ensure that their information is accurate, clear and up-to date. Recent research shows that companies that are driven by data and guided by insight consistently outperform their less well-informed competitors.

A solid plan for managing data starts with identifying key business goals and mapping out the process needed to meet them. This plan will include tools, processes, governance and more. It is also recommended that organizations consider appointing accountable people to manage the data management process and ensure that all employees have access relevant information. The most effective data management plans take into consideration the entire range of structured and unstructured information assets that power today’s massive data systems, including cloud and on-premises storage facilities for data. This can range from sensor data and clickstream records to the tracking of shipment and transactional data.

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