Banking Industry use cases for Speech-to-text
June 14, 2023

Banking Industry use cases for Speech-to-text

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Verint Speech Analytics

Taking call data and translating it to text data to enable analysis. Text data is used downstream to determine the call driver to help guide business decisions and ensure adequate resource allocation.
  • Verint Speech Analytics has been solidly reliable in enabling call transcription
  • Accuracy; currently our call accuracy is measured at 73% which creates some confusion when listening for select key words which we use to determine whether regulatory disclosures have been provided.
  • Taking call data and translating it to text data to enable analysis. Text data is used downstream to determine the call driver to help guide business decisions and ensure adequate resource allocation.
  • The tool has enabled call type analysis which is leveraged for top level strategy decisions around resource allocation across queues to ensure sufficient staffing.

Do you think Verint Speech Analytics delivers good value for the price?

Not sure

Are you happy with Verint Speech Analytics's feature set?

Yes

Did Verint Speech Analytics live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Verint Speech Analytics go as expected?

I wasn't involved with the implementation phase

Would you buy Verint Speech Analytics again?

Yes

Taking call data and translating it to text data to enable analysis. Text data is used downstream to determine the call driver to help guide business decisions and ensure adequate resource allocation.