Count is a modern data team's first canvas, offering a combination of a data notebook within an infinite, real-time collaborative whiteboard. This unique approach allows data teams to concentrate on tackling impactful business problems, as opposed to simply generating dashboards and charts. Analysts benefit from the ability to delve into issues seamlessly without the need to switch between tools, utilizing SQL or Python for querying, creating personalized visuals, and engaging in discussions with stakeholders. The platform also facilitates the transformation of any canvas into a compelling data story, such as a metric tree or onboarding funnel.
For analytics and data engineers, Count serves as a valuable tool for exploring, debugging, and iterating data models. It enables the importation of models from dbt or SQL scripts, breaking down models into a graph of connected CTEs with live results, debugging code, obtaining feedback, and exporting back to dbt Cloud, GitHub, or as a full SQL script. The company, founded in 2016 and headquartered in the United Kingdom, has attracted a Seed Round investment from TheVentureCity on 09 August 2021. Count has garnered the affection of over 500 data teams, including those at Accenture, Omnipresent, and Too Good To Go, aiming to break free from the perpetual cycle of dashboards and enhance collaborative workflow across the entire process.
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