USE CASE

Business Case
Enhance Advisory Revenue by improving Content Relevance

How
Automate your Thematic Distribution of Research to make it more relevant for more client engagements.

Who
Research

Where
Pre-Publication

With
Document Level Tags

Detail
Distributing research to clients according to thematic preferences is hard if not impossible. Existing tagging to achieve this is minimal and manual, and subject to both under-tagging and over-tagging. Limeglass can consistently identify and quantify themes covered in documents automatically, enabling automatic distribution.

Example

A theoretical research document about the strength of the company Vestas’ balance sheet in a Recession scenario written by Analyst Joe Bloggs.

Current Systems
Making reasonable assumptions about the contents of the document, this report could be sent using traditional tagging systems to clients interested in:

• Vestas
• Industrial Companies
• Denmark
• Joe Bloggs

Limeglass Systems
The same document about Vestas can be sent using Limeglass technology to clients interested in:

• Vestas
• Industrial Companies
• Denmark
• Joe Bloggs
• Wind Energy
• Clean Energy
• The Energy Transition
• Recession
• Balance Sheets

Additionally, each tag has a metric associated with it to quantify its presence in the document. These metrics can also be used to customise distribution preferences for different use cases.