Truphone is the leading provider of global in-network recording, providing this service for 10 of the top 12 global financial institutions.
DataParser is connector software to bring Truphone text data into any archive or eDiscovery system in use.
Truphone DataParser helps you use the technology you want while still meeting your compliance and security policy requirements.
Yes. We offer free 30-day trial licenses for testing. Our deployment teams can set you up in our DataParser Cloud to quickly test the end-to-end process.
Each data source is licensed separately, and we only charge for the number of users you need collected. Since DataParser can integrate with Active Directory (AD), users can be filtered according to any AD attribute/group. We offer several different license types to fit different budgets and use cases.
The following fees apply to DataParser and depend upon deployment and license choice.
Yes! Our DataParser Cloud is run in a secure Azure environment that eliminates the need for any on-premise resources or administration.
Cloud clients can leave the daily administration and oversight to 17a-4 Support. Our dedicated team manages the end-to-end process and monitors daily to ensure seamless collections and archiving.
DataParser reports and daily notifications offer an easy way to track the end-to-end process. A summary of the DataParser processes can be sent to as many users or teams as needed.
DataParser also offers a message detail report for reconciliation and internal audit processes.
DataParser is a modular software solution designed to meet Compliance, Legal, Security and IT requirements. Chats, Online Meetings, Documents, Data feeds, Collaboration Platforms and Databases are supported. DataParser handles the collection from the source, formatting of the data and delivery to an archive, eDiscovery platform or storage repository. 17a-4 partners with all data source providers to ensure continuous support of new features. 17a-4’s software team has streamlined the development of new interfaces. Please get in contact if you are using a platform not listed below and would like us to add it to our DataParser roadmap.