Organizing Data Management

The process of organizing data that involves the division and arrangement of files in a logical and easy-to-follow manner. This allows employees to quickly and efficiently locate the information they require while ensuring that important information isn’t lost due to misplacement. The ideal is that every file have a clear and distinct connection to other files within the same folder and to the goal of the research. This is usually accomplished through a simple file structure that has subfolders and clear and concise names. A readme file that is placed at the top of a folder may help in directing users to the structure.

It is crucial for companies to have an effective data-management plan to stay ahead of the competition and ensure that their information is accurate, current and clear. Recent statistics indicate that businesses that are savvy and data-driven always outperform competitors with less knowledge.

A solid data-management strategy starts by identifying the primary business goals, then mapping out the processes required to reach them. The plan should include processes, tools for governance, tools and more. Companies should also think about hiring accountable people to manage the data management process and make sure that all employees have access relevant data. The most successful data management plans take the whole spectrum of structured and unstructured data assets that are used to power today’s big data systems including cloud and on-premises data repositories. This can range from clickstream records and sensor data to transactional and shipping tracking points.

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