Databox vs. JarviX

I believe Databox can be an asset for any company. We are a small company, but I can see the value for large companies too. Databox is a great fit for departments or organizations that need to put their data into a readable form without needing a ton of reports. Databox allows you to save time and put together a nice report without having to do too much extra work. Once it is set up, it basically runs on its own at the frequency you set. I personally receive a daily report and have it sent to the respective people on the day of our meeting so we can quickly review it.

Incentivized

JarviX is very good at data integration, creating charts and reports for data visualization. It is really impressive that Jarvix can let our marketing team know the number of members living in a specific area in seconds. In addition, the product manager from Synergies is willing to help us with all problems we encounter. I accidentally changed one of the settings in a data table which threw the existing dashboard into chaos. However, after assistance from the product manager, we were able to successfully bring the data back to normal.

• Create dashboards from a variety of data sources.
• Set & track goals based on the data and metrics provided.
• Send alerts and scorecard updates to Slack and email automatically.

Incentivized

• The algorithm platform is handy
• Time-saving
• Real-time data update
• Database docking

• Some types of data can only be reported on for 1-2 months back. Unless I'm misunderstanding the function of the software this seems really weird. I can't figure out how to report on Activities more than 2 months ago

Incentivized

• There should be more flexibility in changing the data tables uploaded into JarviX. For example, it should enable users to edit the syntax of the table or change the data format of the columns without affecting the existing dashboard and charts already created using that data table.

Databox is an intuitive, well-designed platform that can be used by non-technical marketers. It is easy to learn, and while set up takes time, usability is high and the team has enjoyed creating custom dashboards and clients have also given us great feedback regarding its usability and value. While other BI tools are much more complex to navigate, Databox is a breeze.

Incentivized

JarviX is very easy to use, once everyone learns how to use JarviX to produce their own data reports, it reduces IT’s workload.

Incentivized

I have really enjoyed using Databox and have seen the value of it in many ways. They also continue to improve the functions of it and grow their integrations and templates. I look forward to continuing to use Databox in the future, potentially even finding ways to incorporate it into other departments to help them with reporting as well.

Incentivized

JarviX is very easy to use, once everyone learns how to use JarviX to produce their own data reports, it reduces IT’s workload.

Incentivized

Databox is unique in its ability to report from multiple data sources. Google Analytics is the standard when it comes to web metrics, but it's just one of the tools that integrates with Databox. Tableau is fantastic for data visualizations and reporting, but it's much more expensive than Databox, so it's not ideal for everyone. Tableau is also superior with customization

Incentivized

Tableau and Power BI. Obviously, they are not in the same category. Tableau and Power BI only provide data visualizations plus a little bit of analytics. JarviX not only provides data exploration, so you can find out what the problem is, as well as model management and App builder. If you only look for a dashboard, yes BI is probably enough, but if you constantly feel lacking actionable insights for actual implementations of improvements, JarviX is the choice for you.

Incentivized

• It has helped us to show our value to clients
• Easily digestible dashboards make it easy to understand what you're looking at

Incentivized

• I think the best part of JarviX is that we can get the analysis results in several minutes. We spent lots of time making reports and managing our data in the past. All in all, it helps us save the time, cost, and labor of managing data.