Why insight search is killing enterprise search?

“By 2019, 50% of analytic queries will be generated using search, natural-language processing, voice or autogeneration. By 2022, information will proactively find more employees more often, thereby providing the insight needed to progress decisions and actions, and reducing reactive searching by 20%.”

This data provided by Gartner in its Magic Quadrant for Insight Engines paints a clear picture of the digital transformation era where enterprise workers are increasingly engaging with new and advanced technologies for searching via natural language as part of their business activities. 


How can insight search engines change the way we search?

Insight search engines meet users’ expectations because they understand any request in natural language, discover information from any knowledge base or data source and provide accurate answers through any channel, all at a dramatically reduced cost.

Thanks to AI technologies, insight engines help companies leverage the full value of all the information they manage: they ensure that an organization’s information is more accessible, findable and intelligent.

Insight search engines enable faster and more effective retrieval of relevant data that is acquired from various sources within an organization and externally, and they are able to manage different formats; they support analysts and knowledge workers in the activities of search, monitoring and automatic correlation of information… since the problem is not only to manage a large volume of information but also to connect the dots and transform them into actionable insights.

Flaps is the first truly SaaS insight search engine that uses the power of Natural Language Processing to provide companies with a very unique tool to boost their productivity.

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"Average knowledge worker must process, consciously or subconsciously, the equivalent of 174 newspapers of information every day"

Sheena Iyengara,
professor at Columbia Business School