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Data visualization solution that enables businesses of all sizes to build & deploy interactive web applications, collaborate with team members, grant access permissions, and generate reports.
Dataslayer targets marketers, data analysts, and businesses seeking efficient data integration from various sources to enhance reporting and insights.
The primary selling point for me has been the fact that the platform integrates with other services like Integromat to generate beautiful plots autonomously which is incredibly useful.
UI is not the cleanest, documentation is awful.
Beautiful and meaningful plots and graphs supporting my data finding.
We would have hoped to find more examples in the documentation, we are forced to scrap Github repository for x specific feature. For example the architecture concepts explained are way too scarce.
I made some great plots and graphs with that tool. It has help me so much with my studies.
They offer a lot of services and it can get confusing on where to start, reach out to their customer service in case you are stuck.
Fonts, styles, all you need. Also, your data is saved on the account, which is nice, because you can come back to it later.
This allows me to better understand the figures to be able to make good conclusions, this is thanks to the optimization of time when calling up the data.
There aren't all the features you need. I had many problems finding dimensions mostly.
Dataslayer offers the best cost-benefit ratio in its market, serving as an excellent alternative to Supermetrics. The tool supports a wide variety of data sources and works very well.
For my use, I can't see anything that is missing.
Recommended to work with paid and organic dashboards in Looker. They have a lot of connectors, the price is quite good, and customer support is excellent.
A workaround can be easily found by using multiple Google Sheets, but it is slightly less convenient, unless I am missing something.
Easy to use, easy to connect and set up connectors and sources. Excellent, brilliant and fast customer support.
You have to really think about what data you want to get to avoid consuming API calls trying to pick the right metrics.
Prioritize real-user-identified key features according to your needs to find your best fit.
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