NLG tools automate the analysis and enhance traditional BI platforms by explaining in plain English the significance of visualizations and findings – here is an overview of the market.
It is often said that a picture is worth a thousand words. But in the era of big data, a paragraph from a natural language generation (NLG) tool might be worth a thousand pictures.
NLG tools automatically analyze data, interpret it, identify the most significant parts, and generate written reports in plain English. In essence, NLG brings artificial intelligence to business intelligence (BI), automating routine analysis, saving business users time and money.
Although BI products generate visualizations, reports, and dashboards, business users still have to analyze and interpret data. That’s where NLG comes in. It automatically performs the analysis and generates an English language translation of what is significant and meaningful in the data. Business users no longer have to study the data to interpret its meaning; NLG tools do that for them.
Moreover, NLG tools bypass the need to create visualizations, charts, and reports in the first place. The tools can sift through large volumes of data and generate reports automatically. This is particularly valuable in the age of big data where huge amounts of data can overwhelm business users and IT departments alike. With NLG tools, data analysts can spend 80% of their time analyzing data rather than 80% of their time preparing data. In other words, NLG tools augment the job of business users so they can focus more on high-value tasks and less on menial work.