Dataiku vs. Verint Voice of the Customer

Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.

Incentivized

Verint Voice of the Customer is very well suited for measuring how satisfied (or dissatisfied) the customer base is in close to real time. Also well suited for identifying pain points across the experience. Not sure if the platform is well suited for measuring multiple interactions for a specified journey or a specific audience experiencing a specific journey

Incentivized

• Allows users to collaborate and monitor individual tasks
• Caters to both types of analysts, coders and non-coders, alike
• Integrate graphs and plots with visualization tools such as Tableau

Incentivized

• Scalable: no issues with volume for sending out emails nor reporting.
• Feature Rich: very well equipped.
• Support: excellent knowledge base and even better live support
• Pricing: very cost effective pricing models

• The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
• When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
• Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.

Incentivized

• Integrating with Google Analytics did take several sessions with their support team, so that could use improving
• Needed additional assistance from their technical team because of the configuration
• Limited customization for standard deployment survey templates. Some reports are a bit outdated

Incentivized

The cost versus product is a good value, so it all depends on the customer's needs/wants, and of course, budget

Incentivized

The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level

Incentivized

First and foremost It’s easy to use. The Visual dashboard is great and simple to navigate!! The amount of info is thorough and collected timely if not in real time . I have even used it to contact a customer about an experience they had. I was able to ask why they chose the ratings they did on the survey

Incentivized

The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.

Incentivized

Every support contact I have had, be it by email, live chat or phone, I have had my issue resolved very quickly, efficiently and professionally by a knowledgeable and well trained support team member. Having worked in technical support many years ago myself, I can appreciate the level of service and quality of support offered by Verint. I would, without hesitation, say that Verint offers one of the best support experiences out there.

Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.

Incentivized

OpinionLab is one of the few out there that does two things very well in it's space: 1. Customer Feedback - just feedback, not surveys. Feedback is free text without more than one or two structured questions. Most survey systems offer too many options, and their reporting is made for structured data analysis not analysis of the open text fields. Some of the other tools viewed did not have the best features for medium or large scale deployment, from an analysis perspective, real-time data extract and download, or customization for branding.

Incentivized

• Customer satisfaction
• Timely project delivery

Incentivized

• Collect data around our login experience where eventually we were able to release a GPE directing customers to utilize our virtual assistant
• Verbatim around the claims experience allowed us to update our Claims Status page to provide more detailed, transparent information to the customer around the status of their claim.

Incentivized