Self-Service Analytics
Empower Users To Build Faster On Their Terms
Give the power of data analysis to everyone. Users can create their own reports powered by multi-tenant data security.
TRUSTED BY LEADING SAAS COMPANIES
THE PROBLEM
There are lots of dashboard builders, but none with native multi-tenant data security that can process billions of rows of data.
THE SOLUTION
Through role-based access controls and dynamic data filtering, Qrvey offers users access to visualize the data they are authorized to view, using an intuitive dashboard builder.
CASE STUDY
See How JobNimbus deployed Qrvey to 6,000 customers and saw an immediate reduction in customer churn.
Qrvey Offers a Comprehensive Solution For Self-Service Analytics
Enterprise scale and performance combined with flexible builders for any type of user.
Dashboard Builder
An intuitive report creator empowers user to analyze data on their own terms to make data-driven decisions.
Mix data sources in one dashboard
Tenant and user specific data security
Intuitive drag-and-drop dashboard creator
Formulas, groups, trends, conditional formatting and more
Pixel Perfect Reporting
Qrvey’s embedded pixel-perfect report builder offers fine precision to specify the positioning and styling of every element within the template.
Customize each layout and design down to the pixel
Add any data point to a report
Built on top of multi-tenant data security
Unified Data Pipeline
With the ability to simplify data consolidation into a single analytics data lake, Qrvey removes the burden of maintaining multiple data processing pipelines.
Built-in data connectors to common data warehouses
Sync data to Qrvey or directly connect to databases
Ingest structured, semi and un-structured data
Create data transformations within the pipelining process
Data Lake
Go beyond structured data warehouses and offer users the ability to analyze any type of data removing the need to manually build a semantic layer.
Native semantic layer to map user permissions
Scalable to billions of rows of data
Multi-tenant optimized for rapid integration
REVIEWS FEATURED ON G2
Analytics for Those Who Want More
Build Less Software. Deliver More Value.
More Insights
Why is Multi-Tenant Analytics So Hard?
BLOG
Creating performant, secure, and scalable multi-tenant analytics requires overcoming steep engineering challenges that stretch the limits of...
Pricing Strategies to Maximize Revenue from Analytics
GUIDE
Unlock the full potential of your SaaS business with our comprehensive guide on pricing and packaging strategies.
How JobNimbus deployed Qrvey to 6,000 customers
CASE STUDY
Discover how JobNimbus deployed Qrvey to 6,000 customers and saw an immediate reduction in customer churn....
FAQs About Self-Service Analytics
Self-service analytics is all about empowering users to create their own unique dashboards and reports. Every business is different so your one-size-fits-all reports often fall short of expectations.
Read our complete Guide to Self-Service Analytics.
Self-service analytics is designed for business users across departments, like marketing, sales, finance, and customer support. It empowers those who understand their specific business questions but may not have the technical expertise to write complex queries or build reports from scratch.
With self-service analytics, users can gain quick insights into metrics that are important to their business or job function.
This allows for data-driven decision making on budgets, performance, process optimization and much more.
Absolutely! Self-service analytics tools are designed with user-friendly interfaces and drag-and-drop functionality. You don’t need coding experience to get started. Many tools offer pre-built dashboards and reports tailored to marketing needs.
Data security is our top priority at Qrvey which is why we only offer our solution as self-hosted.
This keeps your data in your cloud environment and adds robust access controls, encryption, and user authentication features to ensure only authorized users can access specific data sets.
Not at all! Self-service analytics frees up analysts’ time from repetitive tasks like report generation. They can focus on more complex data analysis, building advanced models, and providing strategic guidance to various teams.
Product teams try their best to make analytics features successful, but in the end, most are not experts in this area.
Check out our guide to the top 3 self-service analytics mistakes teams makes and how to avoid them.