Yext Relate DataParser

DataParser connector software can collect, format, filter, and deliver Yext Relate text data to any archive, storage or eDiscovery system.

Yext Relate is a compliant messaging platform trusted by leading financial firms – enterprise grade, 1-1 engagement that deepens client trust.

DataParser offers a flexible solution with cloud or on-premise deployments, many configuration options and a strong set of features. Designed to meet compliance, security, legal, and business requirements. 

With Yext Relate DataParser, you can use modern, secure messaging while still following your company’s compliance and security policies.

YextDataParser

Key Features of Yext DataParser

  • Collects SMS text data
  • Collects participants, attachments and templates
  • Threads text messages for easy review
  • Integrates with Active Directory

Benefits of Using Yext DataParser

  • Automated Compliance: Reduces manual workloads by automating retention, archiving, and supervision processes.
  • Risk Mitigation: Ensures that all communications are captured and available for audits, reducing compliance and legal risks.
  • Operational Efficiency: Streamlines the flow of text data from Yext Relate to archives, eDiscovery, or analytics platforms.
  • Data Security: Built-in encryption and access controls protect sensitive information at every stage.
  • Customization: Flexible configuration options mean organizations can tailor the solution to their unique requirements.

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DataParser Supported Data Sources

DataParser is a modular connector software solution designed to meet Compliance, Legal, Security, HR and IT requirements. Chats, Meetings, Documents, Data feeds, Collaboration Platforms and Databases are supported. DataParser handles the collection from the data source, formatting, filtering of output 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.  DataParser includes modules not listed below that are used for custom data collection projects.  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.

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