The process of organizing data that involves dividing and organizing files in a rational, easy-to-navigate manner. This helps staff find the information they require quickly and easily, while making sure that important data is not lost due to misplacement or inadvertent storage. Ideally, each file should be clearly connected to other files in the same folder as the main objective of the research. This is typically accomplished with a simple and transparent file structure that includes subfolders. A readme file placed at the top of a folder may aid in orienting researchers to the structure.

Implementing a solid data management strategy is essential for businesses to keep up with their competitors and ensure that their information is precise, clear and up-to date. Recent studies have shown that businesses that are driven by data and guided by a sense of insight are consistently better than their less well-informed competitors.

A solid plan for managing data starts by identifying the most important business goals, and then defining the processes needed to meet them. This plan will include processes, tools governance and much more. The organization should also consider hiring responsible people to oversee the management of data and ensure that employees have access to the data. The most effective data-management strategies encompass the entire spectrum that includes both structured as well as unstructured data assets, that are utilized in today’s big data systems. This includes on-premises and cloud data repository. This could include everything from sensor data and clickstream records, to transactional and shipment tracking points.

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