What is the Role of Natural Language Generation in the Enterprise?

October 19, 2015 Alice Robbins

enterprise natural language generation

Businesses are increasingly producing more data but quickly operationalizing the insights across the enterprise is a challenge.

Enter Advanced Natural Language Generation (NLG).

Advanced NLG platforms, like Quill, automate the transformation of structured data into easily understandable narratives. An additional benefit, besides helping to reduce time spent manually interpreting the data, is that NLG also enables the creation of high-value information by transforming data into personalized and highly relevant communications at scale.

5 Characteristics of Enterprise NLG

Let's take a closer look at Advanced NLG and the characteristics that enable this technology to deliver data-driven communication throughout the enterprise:

What is the Role of Natural Language Generation in the Enterprise?Quality 

The same high-quality content is delivered every time. Advanced NLG systems can emulate the work of your best analysts and brand ambassadors by consistently generating data-driven narratives written with a designated voice, style, and word choice. This approach also eliminates human error so businesses can comfortably rely on the content to drive decision-making.

What is the Role of Natural Language Generation in the Enterprise?Scale

Instead of having to teach new employees how to measure the health of the business, make managers scramble to interpret the data and summarize insights, or force data scientists to devote their highly valuable time to basic analysis, Advanced NLG enables the delivery of key takeaways to anyone, at any time.

What is the Role of Natural Language Generation in the Enterprise?Relevance 

Advanced NLG tailors communication for particular audiences. This ensures that the information is relevant to the person’s role in three ways:

  • Identify the findings that are significant to a particular business domain.

  • Refine domain information to meet the needs of stakeholders.

  • Tailor the language to meet the specific recipient’s needs (i.e. long or short narratives, technical or non-technical audiences, etc.)

What is the Role of Natural Language Generation in the Enterprise?Traceability 

Analysis often leads to questions like, ‘Where did the numbers come from?’ or ‘How did you arrive at that conclusion?’

Advanced NLG offers traceability that creates the utmost level of trustworthiness. The system offers evidence for what, why, and how it came to the respective conclusion and enables users to understand why certain insights were communicated in the way that they were.

This is the very reason that Advanced NLG is already being used by highly regulated industries like financial services as well as government agencies.

    

What is the Role of Natural Language Generation in the Enterprise?Speed 

Through automation, Advanced NLG solutions quickly provide the knowledge that businesses and consumers need, enabling a first-mover advantage.


 


The Automated Analyst

 
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