Trados Studio is a translation management and language localization platform, from multinational SDL headquartered in the UK. It is a computer-assisted translation product, designed to be a complete translation environment for language professionals who want to edit, review and manage translation projects whilst in the office or on the move.
$408
per year per user
Verint Speech and Text Analytics
Score 8.4 out of 10
N/A
Verint Speech Analytics is a tool used to transcribe and analyze millions of calls to discover customer insights and improve contact center performance in the cloud.
SDL Trados Studio is extremely well suited for expert CAT tool users. More novice users will have trouble getting up to speed. I have an office full of employees that constantly ask questions on how to do specific tasks, mainly because the task sequence is not obvious and is only uncovered by rote repetition of the same things. If you learn and apply the same techniques repeatedly, it becomes easier, but it seems the software was designed by software people, sometimes with little thought to the end users who have to figure it out. I don't know that professional training should be so necessary.
Using the verint speech to troubleshoot the mobile app and before we did not have any viability on this topic before. Also before we had no way to look at anything that the guest had going on and now we are really able to drill down in every way to take care of the guest needs
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.
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.
Again, the list of functions is impressive but the way it is organized (not process-driven) and the fact that complex tasks should be close to basic tasks make the product suitable to hardcore users that have a lot of time to research the manuals and blogs. By the way, Nora Diaz is one of the most respectable users of this product. Her videos help a lot!
This platform offers a wide range of features inclusive of the transcript generation which is text analysis and speech analysis. This helps in tracking the customer requirements and getting them a product they desire. Also the API integration with other tools have a scope of improvement. The UI can be improved and costing can be reduced
Support has been fast, precise and thorough. There is support on the web, by chat, by email, from the communities, from the experts, on the product Help section, on YouTube, and other social media. There is also a paid support for companies. This area is where the company stands out. I was not able to evaluate the support in languages other than English.
I tried using memoQ to get used to server-based localization tools, but experienced critical issues such as translation data not being updated on the server so stopped using it before I get used to it, unfortunately. It must be updated and improved by now, so I might try using it again in the near future.
Verint Speech Analytics stacks up well against workforce management, we use workforce management mainly for forecasting and scheduling. We selected Speech Analytics because we want to know not only why customers are calling but what is being said in calls. Sometimes customer might get angry or they might ask for a supervisor so when we need to look at escalated calls Speech Analytics helps us pick those out.
The system is relatively reliable with minimal downtime. However, when there is an issue, it is often addressed slowly and causes significant business issues
