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The process of organizing data that involves dividing and arranging files in an orderly simple and user-friendly manner. This lets staff quickly and easily find the data that they need while ensuring that important data isn’t lost due to misplacement. Ideally, each file should be clearly linked to other files in the same folder as to the overall goal of the research. This is usually accomplished through simple file structures that includes subfolders and simple and concise names. A readme file placed at the top of a folder can help in directing researchers to the structure.
A well-planned data management strategy is vital for businesses to stay ahead with their competitors and ensure that their data is precise, clear and up-to-date. Recent statistics indicate that businesses that are data-driven and data-driven are consistently better than less informed competitors.
A solid data management strategy begins by identifying key business goals and mapping out the process required to meet them. The plan should include tools, processes, governance and much more. Organizations should also consider appointing accountable people to manage the process of managing data and ensure that all employees have access to relevant data. The most effective plans for managing data include all aspects, including both structured and unstructured data assets, which are used in today’s big-data systems. This includes cloud and on premises data repository. This could include everything from clickstream records and sensor data to shipping and transactional tracking points.