Most companies can benefit from more effective data retrieval, and particularly when it comes to legal cases and auditing processes that require a high level of precision. In terms of legal companies, for example, e-disclosure and being able to produce records and detailed documents at short notice is crucial; failure to achieve this can be disastrous for cases when accuracy is required, and can lead to problems with being able to prove arguments.
There are a number of different data retrieval strategies that can be used, which range from simple database queries through to more elaborate efforts to store data and retrieve it. One of the more recent, and unusual, methods for storing and retrieving data involves DNA coding, where information can be theoretically attached on a cellular level to a person. Around 2 petabytes of data can be connected to one gram of DNA, resulting in the potential for significant linking of important records to individual cases.
While DNA coding is still mostly at a theoretical stage in terms of functionality, there are other methods that can be used to rapidly sort through records and identify the most important files. Companies that have large archives can run algorithms that remove duplicated information, and remove redundant files, making it easier to use tags and categories to process records. In this way, queries can be run that rely on comprehensive tags and can speed up the process of e-discovery.
Again, the quality of data retrieval can depend on the amount of work that has gone into optimising a database, as well as whether a clear division has been made between meta and other forms of data. Businesses that want the most efficient search functions will need to create rules and source objects that can be easily read by a computer, as well as an output for users that is straightforward to use. Regularly reviewing the strength of a database is consequently crucial to maintaining good records.
Other options for improving your data retrieval include using voice recognition and data processing services that can break down digital records to find keywords; these services can use high end algorithms to work through large amounts of data, and can provide software solutions for automatically filtering out the records that you need. One of the particular advantages of using audio recognition software is that you have an extra tool beyond searching written data, which can be invaluable when working with long transcripts of meetings and cases.
Author Bio: Piter Thomas blogs about the best ways to manage your data. Herecommends looking into the keyword sensitive software available from Intelligent Voice. He also regularly writes about the latest news on network security.