Gain meaningful insights from text data collected from various customer interactions, social channels, and surveys
Do you believe that the voice of the customer is the key to unlocking their best experience? Do you collect a lot of customer feedback and struggle to pull meaningful insights from the 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 across numerous channels. For customers to be satisfied, you need to know what they are saying, what their pain points are, and how to improve their experience.
You can manually collect and analyze text data from multiple sources, but 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 Proof of Concept (POC), our team will work with you to understand your text data and define end-to-end Azure pipelines and data flows. We will also enable you to implement the model with minimal effort, based on your unique requirements.
a. Ingestion pipelines and data processing (using ADF). b. Reusable Azure Databricks notebooks that are used for data cleaning, model execution, and retraining. c. ML operation using Azure ML Service, serverless architecture, Azure functions, Azure Databricks, and more (depending on the use case).