PLANET DATA ANALYTICS
Planet Data Analytics Services
During the data processing stage, Planet Data Analytics will match related concepts and issues in descending order of relevance to the key issues in the case. This categorization greatly enhances the identification of both obvious and non-apparent types of information. Documents with related issues can be prioritized and reviewed earlier in the process, thereby reducing the time and cost of wasted "dead-end" searches by reviewers. New issues that subsequently arise can easily be re-processed against the entire collection, providing timely results for the case team.
The sheer volume of data now retained by companies and government entities challenges their ability to act quickly is a "sense and respond" environment. Planet Data Analytics allows our clients to significantly reduce the cost of document review by categorizing large data collections within logical relationships. Unlike linguistically based categorization software, Planet Data Analytics utilizes mathematical algorithms to locate related concepts that might not be apparent to a software platform limited by the inherent incompleteness of linguistical methodology. Content Analyst continuously learns from the data and information as the case progresses, thereby allowing it to integrate many technical terms and foreign languages across the scope of its conceptual searching.
This type of "Text Analytics" is a powerful example of a new technology designed to transform large
volumes of unstructured data into relevant actionable information. Planet Data Analytics automates most of
the human activity traditionally associated with understanding, organizing, prioritizing and retrieving information from large sources of unstructured data.
During the data processing stage, Planet Data Analytics will match related concepts and issues in descending order of relevance to the key issues in the case. This categorization greatly enhances the identification of both obvious and non-apparent types of information. Documents with related issues can be prioritized and reviewed earlier in the process, thereby reducing the time and cost of wasted "dead-end" searches by reviewers. New issues that subsequently arise can easily be re-processed against the entire collection, providing timely results for the case team.
The sheer volume of data now retained by companies and government entities challenges their ability to act quickly is a "sense and respond" environment. Planet Data Analytics allows our clients to significantly reduce the cost of document review by categorizing large data collections within logical relationships. Unlike linguistically based categorization software, Planet Data Analytics utilizes mathematical algorithms to locate related concepts that might not be apparent to a software platform limited by the inherent incompleteness of linguistical methodology. Content Analyst continuously learns from the data and information as the case progresses, thereby allowing it to integrate many technical terms and foreign languages across the scope of its conceptual searching.
This type of "Text Analytics" is a powerful example of a new technology designed to transform large
volumes of unstructured data into relevant actionable information. Planet Data Analytics automates most of
the human activity traditionally associated with understanding, organizing, prioritizing and retrieving information from large sources of unstructured data.
Planet Data Solutions, Inc. 555 Taxter Rd Elmsford, NY 10523
1.800.688.2812
