Data management involves creating and arranging information files in a systematic and simple to navigate. This lets staff locate the information they require quickly and easily, while ensuring that important information 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 in relation to the general goal of the research. This is usually achieved by utilizing a simple, transparent file structure that includes subfolders. A readme file at the top of the folder is usually helpful to orient researchers to the structure.

The implementation of a successful data management strategy is vital for companies to keep up with the competition and ensure that their data is accurate, clear and up-to-date. Recent statistics show that businesses that are savvy and data-driven generally outperform competitors who are less knowledgeable.

A robust data-management plan begins with identifying the main business goals, then sketching out the procedures needed to meet them. This plan will include tools, processes as well as governance. The business should also think about assigning responsible individuals to manage the process of data management and ensure that all employees have access to the data. The most successful plans for managing data take into account the full range of unstructured and structured data assets that power today’s big data systems, including cloud and on-premises storage facilities for data. This can include everything from sensor data and clickstream records, to shipping tracking and transactional points.

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