The process of organizing data that involves dividing and organizing files in a rational way that is easy to navigate. This allows staff to quickly and efficiently locate the data that they need while ensuring that important data isn’t lost because of misplaced. Idealy, each file should be clearly linked to other files in the same folder, as well in relation to the overall objective of the research. This is usually accomplished through a simple structure of files that includes subfolders and short and concise names. A readme file at the top of the folder is usually helpful to orient researchers to the structure.
It is crucial for businesses to have a well-planned data-management strategies to stay ahead of the competition and ensure that their information is accurate, current and easy to understand. Recent statistics show that businesses that are data-driven and data-driven consistently outperform competitors with less knowledge.
A robust data management plan begins by identifying the key business objectives and mapping out the steps needed to attain them. The plan should include processes, tools, governance and more. Organizations should also consider hiring accountable people to manage the data management process and make sure that employees have access to relevant information. The most effective strategies for managing data take consideration the entire range of structured and unstructured data assets that are used to power the modern day big data systems, including cloud-based and on-premises data repositories. This includes everything from clickstream records and sensor data to shipping and transactional tracking points.
