Data organization, in broad terms, refers to the method of classifying and organizing data sets to make them more useful. Some IT experts apply this primarily to physical records, although some types of data organization can also be applied to digital records.
There are many ways that IT professionals work on the principle of data organization. Many of these are classified under the more general heading of "data management." For example, re-ordering or analyzing the arrangement of data items in a physical record is part of data organization.
One other main component of enterprise data organization is the analysis of relatively structured and unstructured data. Structured data is comprised of data in tables that can be easily integrated into a database and, from there, fed into analytics software or other particular applications. Unstructured data is data that is raw and unformatted, the kind of data that you find in a simple text document, where names, dates and other pieces of information are scattered throughout random paragraphs. Experts have developed tech tools and resources to handle relatively unstructured data and integrate it into a holistic data environment.
Businesses adopt data organization strategies in order to make better use of the data assets that they have in a world where data sets represent some of the most valuable assets held by enterprises across many different industries. Executives and other professionals may focus on data organization as a component of a comprehensive strategy to streamline business processes, get better business intelligence and generally improve a business model.