Data management is the practice of grouping and organizing information files in a rational and simple to navigate. This allows employees to quickly and easily access the data that they need while ensuring that important data isn’t lost due to misplacement. The ideal is that every file have a clear and explicit connection to other files within the same folder and also to the goal of the research. This is often accomplished by an easy file structure which includes subfolders, as well as short and concise names. A readme file at the top of a folder can be helpful in orienting researchers to the structure.
It is essential for businesses to have an effective data-management strategy in order to stay competitive and ensure their information is up-to-date, accurate and easy to understand. Recent studies have shown that businesses who are data-driven and driven by knowledge consistently outperform less informed competitors.
A solid data-management strategy starts with identifying the key business goals, and creating the processes to attain them. This plan will comprise processes, tools, governance, and more. The company should also think about hiring responsible people to oversee the management of data and ensure that all employees have the appropriate access to data. The most successful data-management plans encompass the entire spectrum, including both structured and unstructured data assets, which are utilized in today’s big-data systems. This includes on-premises and cloud data storage. This can include everything from sensors and clickstream records to transportation tracking and transactional points.
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