The process of organizing data which involves dividing and arranging files in a rational and easy-to-follow manner. This helps staff find the data they need quickly and easily, while making sure that important information is not lost due to misplacement or inadvertent storage. Ideally, each file should be clearly connected to other files in the same folder and also as to the overall goal of the research. This is usually achieved by a simple file structure which includes subfolders, as well as short and concise names. A readme file at the top of the folder is often helpful to orient researchers to the structure.
It is essential for businesses to have a well-planned data-management strategies to remain competitive and ensure their information is accurate, current and clear. Recent statistics show that businesses who are focused and data-driven always outperform less informed competitors.
A solid data management plan starts with identifying key business goals and mapping the steps needed to meet them. The plan should include processes, tools governance, and more. The company should also think about appointing accountable people to manage the process of managing data and make sure that all employees have access to relevant information. The most effective plans for managing data take into account all the different aspects that includes both structured as well as unstructured data assets that are used in today’s big-data systems. This includes on premises and cloud data repositories. This can include everything from clickstream records and sensor data to shipping and transactional tracking points.