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The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machinelearning. Now personalization is expected not only for retail businesses, but across all industries, both B2B and B2C. Why is NPS ® going up or down?
Data warehouses are largely limited to structureddata. Data lakes are not unified or easily accessible to non-technical users. Data Management Platforms are limited to summary data about mostly anonymous individuals. CRM and marketing automation systems don’t easily combine data from external sources.
The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machinelearning. But machinelearning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?
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This automated text extraction process helps you structure your data and identify critical texts, tags, etc., in seconds using machinelearning. Semantria Storage and Visualization (SSV) allows you to collect, store, and analyze texts to generate reports and structuredata to identify trends. . Integrations.
The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machinelearning. But machinelearning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?
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