Content Identification for Records Management

Shinydocs software automates the identification and classification of records as they are created across the organization so you can achieve your information governance goals while ensuring your users have efficient tools to get their work done without disruption.

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Manually identifying records is time consuming, error-prone, and not scalable as content volumes grow exponentially year-over-year. 

Many organizations struggle with the overwhelming task of managing the vast amounts of information and records created by their organization, resulting in content sprawl. The rate at which content is growing in disparate repositories is leading to operational inefficiencies, errors, and compliance risks from improperly managed information. Your users create content in many locations and applications. In a perfect world, every new file would be properly classified, tagged, and stored—but that is hardly ever true, despite ongoing training and elevated consequences for violations. The result is content growing faster than it can be managed, leaving risk and opportunity on the table. 


Automatically identify records where they are created, as they are created.

Shinydocs uses machine learning techniques to intelligently discover and categorize content as it is created, then uses rules to identify records with minimal human intervention. With Shinydocs, you can apply out-of-the-box or custom rule sets to automatically identify records based on your governance structure and organizational need.


Improved operational efficiency and compliance with RM policies

Organizations that use Shinydocs significantly reduce or eliminate the time and effort spent on manual record identification tasks. With automation running in the background, employees are free to focus on their work—which reduces RM errors, improves RM accuracy, and improves the ability to demonstrate compliance.


By moving the task of identifying records to an automated process, organizations can boost the operational efficiency of their staff, reduce error rates and compliance fines, and fully utilize and optimize their resources.

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