Summary
Analyzing customer sentiment becomes easier with an open-source tool that automates conversations and generates insights.
Analyzing customer sentiment and topics with an own tool
A newly developed open-source tool enables the analysis of customer sentiment and topics from call recordings. Built using technologies like Whisper for speech recognition, BERTopic for topic detection, and Streamlit for the user interface, this tool allows companies to better understand customer feedback.
Why this matters
For BI professionals, this tool presents an innovative solution in the realm of customer analytics. With the increasing pressure to enhance customer experience, this technology addresses a growing need for efficient analysis methods. Competitors like Google Cloud and Microsoft Azure also focus on sentiment analysis but this open-source solution provides flexibility and cost savings for companies wanting to perform their own analytics without expensive licenses.
Concrete takeaway
BI professionals should explore the capabilities of this open-source tool. It offers a chance to effectively analyze customer data and contribute to data-driven decision-making within their organizations.
Deepen your knowledge
ETL Explained — Extract, Transform, Load in plain language
What is ETL? Learn how Extract, Transform, and Load works, the difference with ELT, and which tools to use. Clearly expl...
Knowledge BaseWhat is Power BI? Everything you need to know
Discover what Microsoft Power BI is, how it works, what it costs, and why it's the world's most popular BI tool. Complet...
Knowledge BasePredictive Analytics — What can it do for your business?
Discover what predictive analytics is, how it works, and how to apply it in your business. From the 4 levels of analytic...