Analyzing and extracting data from employee surveys

Using Natural Language Processing (NLP) AI solution to easily process text data, gain insights, and save time.

Siqni, a Finnish based company specializing in employee & customer insights, faces the formidable challenge of processing text data, which is inherently more complex than handling numerical data. The manual analysis of textual information demands extensive time and labor, posing significant operational challenges for the company.

To tackle this challenge, we developed an intelligent, AI-powered solution that uses semantic understanding to analyze employee and customer feedback data. This method focuses on identifying opinions related to particular subjects of interest. The solution employs vector databases in combination with generative AI enabling a human-like interface for data analysis.

Furthermore, they could compare responses between different groups and track differences in responses across different years without manual reviewing of individual responses. Our solution empowered Siqni to efficiently analyze and gain insights from employee survey data, saving valuable time and effort.

New York

860 Broadway
6th Floor
New York, NY 10003

Helsinki

Aleksanterinkatu 17
00100
Helsinki, Finland

Oulu

Kirkkokatu 13
90100
Oulu, Finland

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