I have switched to Count for all the analysis I run, so I would say I use it on a daily-basis.
With Count, you can have queries, plots, text, reports, and comments all in the same place. I find this extremely valuable, as it effectively makes everything self-documenting: the queries that support the results, the interpretation, and the reviews that were made all live together. Moreover, we can collaborate in real-time on the same canvas, which is amazing.
I really like that Count allows you to create tiles and reference results, in a way that feels similar to a DAG in dbt. This helps avoid a lot of code duplication and significantly streamlines query creation. Personally, I think this makes a big difference because it allows me to split complex queries into clearly defined components and then combine their results as needed.
When using other tools, I sometimes felt constrained by the lack of flexible filtering, which was often managed at the organization level and pushed me toward hacky solutions. With Count, control cells make it easy to implement the exact filters you need, giving you a lot of freedom and power to build very flexible dashboards.
Finally, I think the Count support team is excellent. They are consistently helpful, whether I’m stuck or just looking for best practices to implement something in the tool. They either provide a solution or take note of the feedback to improve the product. A good example is the recent addition of support for different scales in facet plots, which addressed a limitation I personally encountered.
I really enjoy how flexible and easy to use Count is. The layout is intuitive and there are an ever growing list of helpful features available to use. The output is very slick as well to create reports as it allows for creative visualisations and has a lot of templates to help if you need some inspiration.
The flexibility and simplicity of having one tool for many purposes means Count is our primary tool within the Data and Analytics team, and it does most jobs so well that it is hard to justify using anything else!
An example project may involve exploring and interrogating data direct in our warehouse, combining it with CSV's to create models and analysis, bringing the stakeholder into the canvas to work collaboratively, sharing ideas and progress, then producing ad-hoc insights and analysis directly from the data on slides the stakeholder can share with the business, and finally creating standard interactive reporting/dashboards that are scheduled to refresh for use by the wider business - which we then monitor with Count Telemetry to make sure they are used. All of this in one tool, no switching between tools, no copy and pasting analysis or visuals into presentations, no keeping separate records of notes/ideas or feedback, it's all in one place.
Since we started using Count we have had great feedback from around the organisation. The speed at which we can work, the almost limitless ability to create visualisations and layouts that make sense, the ease of access and the admin/governance of users have made it a firm favourite across the board.
Added to the tools itself, the support from Count and the community they have built is exceptional and the future roadmap is always clearly driven by the customers and their feedback.
Count is a modern data exploration platform designed to streamline the process of data analysis and collaboration. It allows users to perform data analysis directly using their web interface without the need for complex setup or lengthy onboarding processes. With Count, teams can collaboratively explore datasets, visualize findings, and derive insights through a combination of SQL and intuitive visualization tools. The platform is tailored towards making data accessible and actionable for diverse teams, enabling them to work more efficiently with their data.
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.