In Dialogue with Big Data
What does the expression "Insight Engine" actually mean and how can it affect the way we search? The term is based on the information available in the company (big data). An insight engine looks at how this information can best be searched, as does enterprise search; but an insight engine includes a broader spectrum of technologies that dramatically increase the quality and scale of the search. In essence, the properties of an insight engine can be described using the following three terms:
Insight engines immediately and proactively provide information in its correct context. Studies show that a shortened response time to complex questions is increasingly becoming a decisive criterion for success in today's competitive business environment. This is why it is more important than ever to be able to access and use your own company data in order to remain competitive (Forbes Insights, 2016. Vermeer, 2014). In the age of big data, the rapidly accumulating data is predominantly unstructured ̶ texts, voice messages, videos, and the like; this data piles up unutilized and inaccessible, because it isn’t in a form that can be processed (IDGE. 2016). Insight engines use semantic analysis to interpret unstructured data and prepare it to be processed and used. Search results are improved and delivered in a structured format.