A text analytics solution to increase productivity and improve decision-making

Text mining is used to analyze useful information from a large amount of data to help with market analysis and customer retention. This process maximizes the value of insights extracted out of unstructured text documents. As more and more companies move towards digital channels the need for text mining to understand customers is heightened. Huge amounts of unstructured data is generated every minute. So, businesses feel pressured to be omnipresent and track every click and every message. But most of this is manually carried out by humans. This overload of information is too time-intensive for humans which leads to paralyzing analysis and missing out on vital insights. In fact, many current text analytics solutions do not provide industry standards in terms of quality of codification or compliance. As a result, this leaves room for a text analysis solution that is more consistent in reducing human error and bias.