Kyvos Semantic Intelligence Layer vs. Mode Analytics

Kyvos Insights has made it simple for us to work with all our customer data. Now, we get a clear picture of how we’re doing across locations and products, all thanks to its performant tech. It's the only tool that allowed us to explore five years of data and get answers quickly.

After launching a new contact pathway in a help experience, Mode Analytics can help provide insight into the sentiments from users as well as the engagement with any written content. Numeric outputs are easier to manage, whereas more nuanced/emotional feedback is sometimes hard to quantify (though not impossible if you get creative).

Incentivized

• Easy to integrate with existing tech stack.
• It is easy to make big complex queries and minimal processing time.
• Good customer support and customization support from customer service team.

Incentivized

• Easy to use (click a button and get right to SQL).
• Security First (everything is locked down by default).
• The White Label feature is super easy to skin -- our embedded reports look just like our app!

Incentivized

• We’re able to add more dimensions and measures to our reports without performance issues. Another great advantage of Kyvos Insights was the capability to migrate our workloads to GCP.

Incentivized

• Date ranges aren't always the most intuitive to set, strangely
• Faster refresh rates would be ideal
• Would love more dynamic mobile device integration (alerts, etc)

Incentivized

Kyvos has made a big difference by enabling fast data processing and interactive reporting. It has significantly reduced the time needed to gain insights and made it easier to expand our data operations without slowing down, greatly improving our efficiency.

For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.

Incentivized

Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.

Incentivized

to be honest we used all these platform along with Tableau. Its just each of them fulfil different use cases. Kyvos Insights is more about a platform to with with big data for investigations.

• Tableau is a huge pain to edit or create dashboards, by comparison. It can make better looking visualizations, but in practice, letting users drill down and change dimensions slows the end user experience so much that it's often not worth it.
• Looker is amazing for data modeling, but you have to get your whole business all in on it to take advantage. Viz capabilities are similar.
• Databricks has a lot of functionality overlap, but the visualizations are terrible. Databricks' great strength is that you can use notebooks to do anything with code.

Incentivized

• Kyvos Insights makes it easy to work with large and growing datasets without losing speed. It scales effortlessly as our data expands and works well with our existing tools.

Incentivized

• It has allowed us to monitor ongoing financial transactions written to our SQL data tables in real-time and that helps us to monitor user transaction activities in real-time
• Using Mode we have been able to also track users who undertake fraudulent financial transactions; preventing financial losses to our users
• Mode's collaborative abilities have been very helpful in sharing transaction monitoring workload across our compliance and cybersecurity team

Incentivized