Qrvey Employee Directory

IT Services and IT ConsultingVirginia, United States51-200 Employees

As the first and only embedded analytics solution built exclusively for SaaS applications, Qrvey's multi-tenant analytics platform enables SaaS companies to create richer customer-facing analytics experiences and bring them to market faster, while lowering development costs. 

What makes Qrvey different from other embedded BI tools? 
Our embedded data visualization solution is purpose-built for multi-tenant analytics and comes with a built-in data lake, it's fully deployed to your cloud environment, and allows SaaS companies to connect to any data source to provide a remarkable self-service reporting experience to their customers.

SaaS Product Teams Love Qrvey
A robust, yet easy to use, reporting experience drives higher engagement and satisfaction. Qrvey’s embedded visualizations are 100% white-labeled to seamlessly match your application's look and feel. Your customers will love how quickly they can get the insights they need with customized reporting experiences. Empower your customers with:
- Dynamic dashboards, reports, and templates
- Self-service reporting
- User-level personalization
- Individual dataset creation 
- Data-driven workflow automation

Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.

SaaS Development Teams Love Qrvey
Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application. Our full-stack solution includes all the necessary components so that your engineering team can build less and deliver more. 

Qrvey’s multi-tenant data lake includes:
- Elasticsearch as the analytics engine
- A unified data pipeline for ingestion and transformation
- A complete semantic layer for simple user and data security integration

The Result: A stickier SaaS product, loyal and happy customers, and less time and money on analytics.

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