LSEG Messenger DataParser

DataParser brings LSEG Messenger data into any Compliance Archive or Repository

LSEG Mesenger is single gateway to chat, share news, live data, charts, and analytics, all via LSEG’s hosted network.

DataParser is connector software to bring Messenger data into any archive or eDiscovery system in use.

LSEG Messenger DataParser helps you use the technology you want while still meeting your compliance and security policy requirements.LSEG

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Key Features of LSEG Meseenger DataParser

  • Automatically downloads data from Refinitiv Messenger.
  • Collects Messenger Chats and shared Files.
  • Maintains source transcripts from Messenger.
  • Message tagging and output options.

Tell me about license plans

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Relationships and romantic storylines are the heartbeat of fiction, capturing the complex dance of human connection through emotional resonance and escapism

The Rise of the "Situationship" Narrative: Shows like Insecure (Issa and Lawrence) and Fleabag (The Hot Priest) explore the gray areas. What happens when you love someone but aren’t good for them? What happens when timing is wrong, even when the connection is right? -NekoPoi--Kanojo-wa-Dare-to-demo-Sex-Suru---02-...

Boundaries: Navigating personal space and individual identity within a partnership. 4. Why Romantic Storylines Matter Relationships and romantic storylines are the heartbeat of

Rehearse Emotions: We experience the highs of a first kiss and the lows of a breakup from a safe distance, helping us process our own feelings. Pride and Prejudice by Jane Austen: A classic

Storytelling elevates these real-world dynamics into narratives that resonate with audiences. To create a romantic storyline that feels authentic rather than cliché, writers must move beyond simple tropes to explore deep emotional connections.

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 source, formatting of the data, 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.  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.