Gain meaningful insights from text data collected from various customer interactions, social channels, and surveys.
Do you believe that voice of customer is the key to unlocking the best customer experience? Do you collect a lot of customer feedback and struggle to pull meaningful insights from feedback data?
Understanding what your customers are saying about your products, services, or events can be challenging. Especially if you have large volumes of text data over numerous channels. For customer satisfaction, you need to know what they’re saying, what their pain points are, and how to improve their experience.
You can manually collect and analyze text data from numerous sources. This process is time-consuming and prone to bias.
Our Text Analytics Engine uses advanced machine learning to generate insights, automate processes, and reduce the effects of bias. During our two-week Text Analytics POC, our team will work with you to understand your text data and define end-to-end Azure pipelines and data flows. Our team will enable you to implement the model with minimal effort, based on your unique requirements.
Detailed plan and architecture diagram of production setup, including estimates for:
POC Python notebooks for data cleaning, feature selection, and model execution using immediately available MAQ Text Analytics libraries for the identified use case