Izenda vs. Stratifyd

With Izenda, we can offer our trusted users dashboards, generated custom reports, and ad-hoc reporting, right within our own operation. Integrating the Izenda tool directly into our usage meant that we were suitable to use a small corridor of Izenda as core functionality while reserving the more advanced sections of Izenda for guests willing to pay redundancy for the licensing.

Organizing the data sets is easy and logical. Slicing and dicing of data functionality can be easily performed and is intuitive. Possibility to perform multiple analysis with a single dataset. Data can be easily adjusted even for a non-technical person. Easy navigation. Adjusting of datasets is very intuitive and quickly.

Incentivized

• User and tenant management is excellent. It is very simple to implement and easy to manage.
• The configurability and customizability are excellent. We have access to all aspects of the system and have rebranded and configured single sign on. The users really like it.
• Reports and visualizations work. There's lots of flexibility and users enjoy creating reports themselves.

Incentivized

• Topic generation
• Customizing process flows
• Slice & dice data

Incentivized

• It would be superb if power users were ready to input a SQL statement to create a knowledge set.
• The data source selection view while creating a replacement report.

• User interface
• Text analytics
• Segmentation setup

Incentivized

With the help of Izenda, we are able to build a mature foundation that users can quickly customize to their needs. Once permissions are layered in, we can simply use the same report and only show fields a specific user has access to.

Izenda always provides great support to their users.

We compared to other end user tools like Qlik, Tableau and Power BI. These tools are very refined but not positioned for OEM/Embedded use cases. The closest we came was logi and Birst and the price and business model of Izenda was much more appealing

Incentivized

• One of the best user interfaces.
• Even a non-tech person can use it.

• Multiple analysis
• Slice & dice of data
• Customizing data models

Incentivized