Kibana vs. VizualSurvey

Kibana integrates seamlessly with Elastic Search which gives us access to parse and analyze data generated from our systems in order to make decisions. Also, Kibana helps us create insightful reports and dashboards that give us insights into the end-users usage on the system and helps us find the root cause of issues as well.

Incentivized

Understanding customer experience, purchase behaviour, deciding factors, pricing points, delivery schedule, delivery speed, eagerness, acceptance, reciprocation to offers, reciprocation to price increases, results of an offer, results of market changes, factors behind purchase decision, and also employee feedback. All these various scenarios are well suited for the use of VisualSurvey.

Incentivized

• Fast searches with powerful index.
• Beautiful data visualizations.
• Real-time observability.

Incentivized

• Being able to visualize our data gives us better insight into what works, and what doesn't
• Allows us to create dashboards branded specifically to our individual clients
• Super fast learning curve, easy to get everyone on board

Incentivized

• Some performance issues with large datasets.
• Linking to dashboards makes extremely long urls.
• Lack of reports.

Incentivized

• Connecting dashboards and templates.
• Prepping software data.
• Need more how-to videos.

Incentivized

We did not use the official Kibana support. Documentation was easy enough to follow.

Incentivized

Kibana has a better usability experience, the core features I was using existed in all of them. I liked more in Kibana how you can easily create dashboards, charts, and reports without the need to be a tech person.

Incentivized

Google Data Studio has several problems with modifying data and the way we collect data is very basic and can be outdated sometimes. The visualizations are limited and the formatting is very restrictive. VizualSurvey is much better with data visualization and survey mechanisms where people respond better and we get a higher response rate.

Incentivized

• Issues that affect checkout experiences for customers are able to be prioritized and solved quickly.
• We are able to more efficiently use resources due to the automation of reporting alerts. Decreasing employee resources needed.
• Visualization allows us to quickly share issues and explain to coworkers in order to escalate issues that can cost our bottom line.

Incentivized

• Higher success rates with overall customer satisfaction leads to return customers
• Customers are more trusting on larger projects based on the satisfaction of other customers
• Able to more efficiently meet clients needs, leading to faster closings

Incentivized