Natural Language Generation Can Boost Data Visualization Solutions

by March 24, 2020 0 comments


Natural Language Generation (NLG) is a cutting-edge technology that converts structured data into written or spoken narrative automatically. The purpose behind implementing NLG is access to data. The technology draws on computational linguistics, natural language processing (NLP) and natural language understanding (NLU). NLG is categorized under the language and cognition branch of artificial intelligence where an intelligent machine can reason like a human being, classify nuanced relationships, and express intricate sentences to report the deep hidden relationships between words.

By leveraging NLG, interpretation of data visualizations software such as Tableau, Microstrategy, Qlik, SAP, Power BI, are considerably easy with the help of written narratives. These narratives not only involve an overview of what has happened but also provide users the reasoning behind it as well as share actionable recommendations. Natural Language Generation solutions have the potential to connect with any scale of structured data sources like enterprise DBs, Excels, Data Lakes, among others to abruptly create thousands of personalized reports.

As NLG delivers a coherent and inclusive analysis of complex datasets to the extent that it substitutes the need for a subject matter expert, it also lessens the human cognitive load and allows end-users to make decisions based on valuable insights.


Services That NLG Deliver

NLG software has the ability to extract a large volume of numerical data, recognize patterns and share that information in an understandable way. The pace of the technology is especially constructive for generating news and other time-sensitive stories on the internet. NLG also assists in producing compelling narratives based on data analysis by unveiling trends and patterns that may not be apparent in visualizations. The narratives generated by NLG are dynamic in nature, and they evolve and update relentlessly as the user further interacts with the data visualizations.

Making use of NLG software helps augment the pre-existing dashboard of data visualization software by offering deep insights for the end-user to comprehend everything based on events happened so far. It also delivers the added advantage of the multilingual capability.


NLG Powers Narrative Creation Across Diverse Industries

Natural language generation is useful where there is a need to produce content from data. The prevalent implementations of this technology include written analysis for business intelligence dashboards; Reporting on business data or data analysis; Personalized customer communications through email and in-app messaging; IoT device status and maintenance reporting; Individual client financial portfolio summaries and updates; and E-commerce product descriptions and category landing page content.

For data visualization software, using NLG can help enterprises in many ways. Diagrammatic depictions like charts and graphs pave ways for businesses to understand which could lead to uncertainty in data-driven outcomes. Furthermore, by integrating NLG, organizations can deliver clear, insightful analysis in natural language, which improves precision and lucidity.

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