Data Analysis and Profiling Framework for CALL CENTERS

The goal of this project is to optimize the activity in call centers allowing them to handle a large volume of incoming calls. This can be achieved by applying text mining algorithms on messages and live Speech-to-Text transcriptions to extract parameters for a full view of customer experience.

Phase 1     Define use cases, system requirements and architecture
Active 1.1 Define use cases and test plan
Active 1.2 Defining functional and non-functional requirements
Active 1.3 Defining the general architecture