The term “data set” refers to a related set of values obtained from a centralized database. The data can be anything from supply chain information to employee records. Data can be automatically or manually generated for analysis using the entire data set or a subset of values. Database software is designed to handle the various functions associated with data sets, including synchronization and verification of information.
Data organizers ensure that all information collected by a business is used effectively and efficiently.
In a very basic sense, any dataset collected for analysis purposes is a dataset. The method of data collection can affect the precision of the values within the group and therefore the result of the analysis. If the data set is part of a simple quantitative experiment that does not involve a large data set, manual data collection can be reasonably reliable. On the contrary, if the data set is large, an automatic data collection process will be the most precise and accurate.
The accuracy and precision of the values contained in a data set is always important, but can be imperative for some industries that rely on supply chain chain of custody tracking. The Global Data Synchronization Network (GSDN) certifies data sets and facilitates the data synchronization process by conducting an annual audit of all GDSN certified data sets. The supply chain data captured in a GDSN-certified dataset is linked to a Global Location Number (GLN) and a Global Trade Item Number (GLIT). These two numbers are used to identify the relevant locations and associated items for trade, respectively, as the item moves through the supply chain from manufacturer to consumer.
In other cases, database software automatically accesses data sets while a computer is starting up or during an installation or upgrade process. These processes involve transferring and verifying information between databases. The information that is transferred and verified is the data set. If the data pool fails during the process, there could be a problem with the data, such as a corrupt boot file, an incorrect hard drive configuration, or a faulty hard drive.
For a custom database that contains employee records or historical temperature data, access to the data pool can be private or shared. A private pool cannot be viewed or accessed by anyone other than the administrator. Other people can access a shared group and can add, edit, or delete values. Data can be entered automatically, manually, and imported or exported from a spreadsheet. A web-based group is usually run by an administrator, but is shared so that online users can view and export the data for various purposes.
