Hiring expensive data experts and building a data stack just to make a few dashboards takes months.
Connect, analyze, and present data from >150 SaaS tools in minutes without engineering or SQL.
While you're stuck implementing data pipelines, your teams are flying blind.
You wouldn't build AWS yourself in 2022. Why manage your own data stack?
Without SQL skills, your business teams are shoulder-tapping engineers for help.
Focus on the data, not the data engineering.
Connect and join from >150 SaaS tools without engineering or SQL.
It shouldn't take hours to build metrics.
Get out-of-the-box charts and exploratory tables for popular startup use cases.
Never get caught flat-footed again.
Answer any question of live data with just your spreadsheet skills.
We’re a startup, and very few of our users have enough time or the SQL skills to communicate with our data lake directly, so we knew we needed tools to get data to our users in as intuitive a form as possible.
With Canvas, we can orient our teams around revenue from day one and build a culture of truly data-driven decision making as we grow.
Without involving my technical team, I can report from our product database, Salesforce, Hubspot, Square, and Excel. We're a startup, and a complex stack that requires technical knowledge to run simple reports, plus a full-time employee to manage it, just isn't an option.
There are many business intelligence tools in the market but where Canvas differentiates itself is through the simplicity and usability of the product.
If you're slightly familiar with Excel, you'll know Canvas.
Canvas helps us understand our users across multiple touch-points. The implementation was seamless and it now saves us hours each month of data collection and analysis time.
Data problems? We have experts that can help.
From custom integrations to data modeling emergencies, we're here for you.
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