Chorus by ZoomInfo vs. Google Cloud Speech-to-Text vs. Verint Speech and Text Analytics

One scenario where Chorus by ZoomInfo is well suited is when our team is trying to identify patterns (common objections, frequent competitor mentions, concerns that clients raise). ZoomInfo offers trend analysis, market intelligence, and topic tracking that reveals patterns across conversations. This has allowed us to adapt and update our processes to address these patterns

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Real-time meeting notes for the smaller group audience. Strong language coverage of over 125+ languages. Handles mobile phone recordings and environmental noise effectively. Fast transcription turnaround also supports phrases, which improves industry-specific terminology. Generating QA/compliance audit logs. Also builds the sentences with accurate punctuation and sentence boundaries. It has vast global support centers whose primary focus in resolving customer issues and help multinational engineering in building great products

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In my experience, a lot of the times Verint Speech and Text Analytics is going to be the cheapest solution and this would be a good reason for a Business that does NOT currently have any solution whatsoever to get in at the cheaper price point. I think Verint does things well for a company that has not been in another solution that does it better. And Verint Speech and Text Analytics has a lot of areas that it can help business with that have not been in a different solution

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• Great job on putting the conversion metrics. It's a big help knowing our metrics in every meeting.
• We learned what areas need to be improved and also the strength we had during that conversation.
• It also provides the length of speech of each participants.

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• So, first of all it gives the answer or translates in real time which is awesome.
• It has speaker diarization, which detects who spoke each segment. This is a great feature because it can track the number of people as well.
• It has an automatic punctuation system that detects each punctuation mark, such as a dot and a comma, and places it in the text.
• Lastly, it offers a variety of language translations, providing a global platform for interaction with people from different countries.

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• One of the things that I find extremely beneficial about Verint Speech Analytics is the transcription. Sometimes you have an hour call, an hour and a half call, and you don't have time to listen to an hour and a half call. The beauty is that we can find the transcription and then we can look in it. It specifies where if you look in the interaction details in the back of the call, you can actually see the transcription. You can see it'll identify where in the call, what line at what timestamp did that call hit your category and with what string, with what term did it hit. And that is extremely beneficial. And we're trying to go through and find those little points of, sometimes they're points of abrasion, sometimes there are things that are going really well. I love that we have a transcription. I love that we can also see the screens that is vital because a lot of times, and again, not that we're trying to find something bad, but the reality is in any industry, there's in any call center environment, should I say, there's call avoidance. There's always going to be some agents, it's just in any call center, in any industry, it happens.
• Or sometimes our agents are just struggling. And if you see in real life, for example, a very high silence time, when we notice a trend, we'll start going into those calls and actually looking at those screens and seeing, is silence time call avoidance or could it be the agents are having difficulty utilizing the resources? Are the resources not clear? Is that what the delay is? Are they having trouble trying to find the answer? And a lot of times we found that too. We found they're searching and clicking and searching and clicking and it's because they just didn't know where to go. So that is a coaching opportunity. And sometimes it's a coaching opportunity, not so much in a positive way because they're purchasing things from Amazon. But I think, like I said, that's inherent in any call center environment. I do find the screens, the transcription, the trend analysis that's available within speech, there are so many things I could literally sit here and talk to you for quite some time.
• We love it. And I'm even more excited personally now because I learned so much, as I was saying, about being in the cloud and being in that open-source environment where all of these enhancements that Verint has. And they're so often that they enhance their products and their offering now these little bots and AI to help with all of these different aspects, but that's only available if you're in the cloud and the open source. So there's a lot of benefit in being in prem, in net platform, which is where we are. And we were able to provide a lot of meaningful insight and guidance into a lot of different pain points in the company. But I anticipate, and I have full confidence, that we'd be a much more effective team once we're able to move into the cloud. So I'm very hopeful for that. I'm anticipating what else we could discover.

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• Sometimes there were issues with the 3-minute delay for Chorus joining a live meeting.
• Occasionally, deliverables were assigned to the wrong person in the summary if their voices were similar or if they were on the same audio.
• Occasionally, the Chorus had problems picking up on what someone was saying. This was likely due to user error but caused gaps in the conversation recording and transcript.

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• Integration outside of the google eco system is challenging here.
• Google Cloud Speech-to-Text works only with active internet connection if the internet bandwidth is low it effect the transcription process and can lead to data inaccuracy.
• In terms of the pricing also this is at higher range which all the companies cannot afford like small scale organisation if they would like to use the tool they would look over the price to make the decision. Reducing the price can increase the product usage more

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• Automated scrubbing of PCI and PII data from transcription transcripts and recordings. Using AI to detect the payment screens in a real time manner vs having to program triggers.
• Easier way to bulk export transcriptions and recordings for our legal teams.

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It's hard for me to give anything more than a 5 at this point. The primary reason is that we have only used it for a few months and I'm still getting a feel for the level of value it provides both to me and the team. In 4 or 5 months I'll have a better understanding of its value long term

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So excited for all the new bot functionality that is to come with Verint Interaction Analytics. AI is the future and Verint is leading the way!

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This was sold internally as something that would help us be more efficient. I had high hopes that the speech-to-text feature would be useful for getting call notes/next steps, etc documented. But due to the limitations of the software, these things would take longer using Chorus than if I just write things down manually - disappointing.

The reasoning behind my 10 is that the UI is very intuitive; I didn't require any formal training to use it. Google's speech-to-text is not just a conversion tool; it helps automate mundane tasks, saves time, and has an almost human-like understanding.

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Easy to use, the language model can be custom-tuned to your company's specific lingo and terms. It also has great front-end reporting and ease of back-end custom reports and integrations to the rest of the Verint ecosystem. This is a one-stop shop for great insights and a stepping stone to much more.

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There are few unplanned outages within the platform

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There is often latency within the Speech Analytics module.

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I personally have not had too many major issues with Chorus, but the times that I have reached out to their customer support team I have always received great responses in a very timely manner. Their support team is trained in a very polite way and cares about resolving your issue. They are knowledgeable and helpful and the customer service line does not take long to connect to a real individual.

Like I noted in the other category, it has been smooth for the most part. But we really do enjoy the hard work of our CSM and everything he has been able to provide us in terms of support.

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We looked at Gong but went with Chorus by ZoomInfo because it felt more practical for our team. Gong has great analytics, but Chorus by ZoomInfo fit better into our existing tech stack and budget. The deal notifications, scorecards, and integrations with Zoom and Salesforce made it the smarter pick. Overall, Chorus by ZoomInfo gives us the insights we need without feeling like overkill or another heavy lift.

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Google Cloud Speech-to-Text outperformed its competitors significantly in terms of accuracy, surpassing any other product available. Additionally, its support for multiple languages was unrivaled in the market. Moreover, for clients with robust bandwidth, Google Cloud Speech-to-Text offered real-time transcription capabilities, enabling users to transcribe live audio streams with minimal delay.

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We did not have anything like this before but we did go through a long review and found out no other company had everything we needed. With our security and technology department we did decide that this was the best product for our business. Have all great thing to say and would recommend this to everyone

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The system is relatively reliable with minimal downtime. However, when there is an issue, it is often addressed slowly and causes significant business issues

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• Improved ramp time for new joiners in my team so that they can easily watch their calls and get feedback
• Improved ramp time for new joiners in my team so that they can easily watch other people's calls and get inspiration
• Sales training improvement so that we can focus on listening time

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• It reduced our budget for assistants who transcribed files manually
• It speeds up the process, because we can have a transcriptions straight after the interviews
• It increased accuracy, because AI makes the transcriptions for every second, and you can find the words which were said at specific time.

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• We are still developing ROI; we have a lot of data, but it's hard to get insights from the data at times. Adoption is something we are working on evaluating.
• We have alerts that have saved us $ on benefit quoting errors.

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