Organizing data is the practice which involves dividing and arranging files in an orderly simple and user-friendly manner. This allows staff to find the data they need quickly and easily, while making sure that important data is not lost due to misplacement or inadvertent storage. Idealy, each file should be clearly connected to other files in the same folder, as well as to the overall goal of the research. This is often achieved through an easy file structure that has subfolders and short and concise names. A readme file at the top of the folder is usually helpful in guiding users to the structure.
It is vital for businesses to implement a solid data-management plan to remain in the game and ensure that their data is up-to-date, accurate and clear. Recent studies show that businesses who are focused and data-driven generally outperform competitors with less knowledge.
A robust data-management plan begins by identifying the primary business goals, then defining the processes needed to reach them. The plan should comprise processes, tools, governance, and more. Organizations should also consider appointing accountable people to manage the data management process and ensure that everyone has access to relevant information. The most successful data management plans take into consideration the entire range of unstructured and structured data assets that power today’s big data systems, including cloud and on-premises data repositories. This can include everything from clickstream records and sensor data to transactional and shipping tracking points.
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