The term “data pool” refers to a related set of values obtained from a centralized database. Data can be anything from supply chain information to employee records. Data can be generated automatically or manually for analysis using the entire dataset or a subset of values. Database software is designed to handle the various functions associated with data pools, including synchronizing and verifying information.
Data organizers ensure that all information collected by a company is used effectively and efficiently.
In a very basic sense, any set of data collected for the purpose of analysis is a data pool. The method of data collection can affect the accuracy of the values within the pool and therefore the result of the analysis. If the dataset is part of a simple quantitative experiment that does not involve a large dataset, manual data collection can be reasonably reliable. On the contrary, if the dataset is large, an automatic data collection process will be the most accurate and accurate.
The accuracy and precision of the values contained in a dataset 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 pools and facilitates the data synchronization process by performing an annual audit of all GDSN certified data pools. Supply chain data captured in a GDSN certified data pool is linked to a global location number (GLN) and global trade item number (GLIT). These two numbers are used to identify the relevant locations and associated items for trade, respectively, as the item passes through the supply chain from manufacturer to consumer.
In other cases, datasets are accessed automatically by database software while a computer is booting up or during an installation or upgrade process. These processes involve transferring and verifying information between databases. The information being transferred and verified is the data pool. If a data pool error occurs during the process, there could be a problem with the data, such as a corrupted boot file, incorrect hard drive settings, 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 seen or accessed by anyone other than the administrator. A shared pool can be accessed by others who can add, edit, or remove values. Data can be entered automatically, manually and imported or exported from a spreadsheet. A web-based pool is typically handled by an administrator, but shared so that online users can view and export the data for various purposes.