Data management is the practice of creating and arranging information files in a rational and easy-to-use manner. This allows staff to find the information they require quickly and efficiently while ensuring that important information is not lost due to a misplaced or improper storage. Ideally, every file should have an explicit and clear connection to other files in the same folder as well as to the overall aim of the research. This is often accomplished by a simple structure of files which includes subfolders, as well as clear and concise names. A readme file at the top of a folder can be useful in guiding users to the structure.

Implementing a solid data management strategy is vital for businesses to keep pace with the competition and ensure that their data is precise, clear and up-to date. Recent research shows that companies that are savvy and data-driven consistently outperform less informed competitors.

A solid plan for managing data begins by identifying key business goals and mapping out the process required to achieve them. The plan should include processes, tools and governance, among other things. Organizations should also consider hiring accountable people to manage the data management process and ensure that all employees have access relevant data. The most successful data-management plans take into account all the different aspects that includes both structured as well as unstructured data assets, that are utilized in today’s big-data systems. This includes cloud and on premises data repository. This can include everything from clickstream records and sensor data to shipping and transactional tracking points.

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