Displayr

The flexibility of this platform is amazing. I can connect it to most any data source I want, including direct connections via API to my survey platform. The ability to create, recode, combine or separate variables means I can do much more in this platform than any "home" platform my data is coming from. It's comparable to Tableau in many ways.

There are only two things that, for my purposes, this software could use. First, data source filtering. You can filter, but at the "widget" level which can be tedious. A filter at the data source would be a massive improvement. Second, some more flexibility in table design. I would love to be able to add the columns I want freely; as it is, you can't really do that and sometimes I have to "cheat" and make two tables I combine later in PowerPoint.

If I had to pick one things about this tool that stands out, it is the elegant design of its advanced analytics functions. With a high degree of customization and sophistication that I don't see any many other tools geared for survey analysis, as well as compelling visualization that consistently wow clients, it substantially improves the speed and quality of my work.

The only major challenge with this software is its processing speed when you start working with large data-sets and/or large analyses with many complicated visuals. You can buy additional server time, but I wish there was an option to upgrade the machine instance on an ad-hoc basis as well.

1) It allows for creating Data tables, performing weighting, performing open-end coding, creating editable ppt reports, and creating online interactive dashboards. 2) You can set up your studies while you are collecting the data and can quickly export the results as soon as you are done with data collection. Allows offline as well as real-time data connection with popular data collection platforms.3) It has a lot of additional useful data analytics and visualization features that are mindblowing and very easy to use. 4) The interactive dashboard capabilities are extremely helpful for end clients.5) Allows for standardization of report templates, allows high reusability, provides controls to researchers, and cuts dependency on special data engineering teams or data processing vendors.

One of the useful features that could come in handy for integrating repeatable solutions may need knowledge about "R" which can be difficult for a researcher to understand and only can be worked by those who have technical programming knowledge. However, we easily managed to avoid R code for our regular work and have been using Displayr for more than 2 years and worked across 100+ research studies, some of them were huge and complex but still easily managed it within Displayr.