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What’s New

Qrvey 8.8
Qrvey Version 8.8 (LTS) is now available to customers! This version supports FIPS for GovCloud and includes tons of bug fixes and performance improvements.
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Qrvey 8.7
Version 8.7 of the Qrvey platform is now available to customers! This version includes new features including area charts, the ability to pivot and export data, as well as numerous bug fixes and performance improvements.
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Qrvey 8.6
Version 8.6 of the Qrvey platform is now available to customers. This version includes several new feature enhancements and performance improvements.
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Required Update for 8.5.1
Attention 8.5.1 customers: for any 8.5.1 instance deployed prior to 08/05/2024, an update is required to ensure you are running the latest images.
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Qrvey 8.5
Version 8.5 (LTS) of the Qrvey platform is now available to customers. This version includes several new features and performance improvements.
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End-of-life Schedule
We've added a new article that lists the features and endpoints that have been scheduled for deprecation. All features and endpoints will be supported for (1) year after the release date of the LTS version that contains the alternative.
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Version: 8.7

Intro to Qrvey Composer

Qrvey Composer is a web-based platform that enables data analysts to import and manage datasets from many sources, design data visualizations within drag-n-drop dashboards, build web forms, setup automated workflows, and generate pixel perfect reports. The platform is tailored for the specific needs of SaaS companies, enabling your team to share, distribute, or embed Qrvey's features within their own platform UIs for fully customized data experiences.

After you've signed up or logged in, you enter the Applications Page, where you can access and manage Your Profile, platform Activity Logs, the Download Manager, and Applications.

Applications​

An application is a self-contained analytics project, composed of five modules:

  1. Data — Enables configuration and management of the application's data sources.
  2. Dashboards — A robust data dashboard system to create, browse, configure, customize, and deploy interactive data visualizations.
  3. Automation — Set triggers, then define conditions and actions to automate tasks within an application.
  4. Pixel-Perfect Reports — Build highly customizable and detailed reports out of your data and data visualizations.
  5. Settings — Configure the global settings for an application.

Data​

Datasets, Web Forms, and Connections work together to play vital roles in the data lifecycle within Qrvey, from data collection to data storage and analysis.

Connections​

A Connection is a link established between Qrvey and an external data source.

This could be a database, a data warehouse, CSV & JSON files, a cloud storage services like AWS, incoming data from REST APIs, or some other system that store data. Connections allow Qrvey to access and retrieve data from these external sources. The main purpose of a connection is to establish a secure and reliable pathway for data retrieval and integration into Qrvey.

Datasets​

A Dataset is a collection of data imported, transformed, and stored for analysis and reporting.

This may include data from one or more Connections. The transformation process involves cleaning, filtering, aggregating, and joining data to ensure it is ready for analysis. Once the dataset is created, it is stored within Qrvey's infrastructure. The main purpose of a dataset is to provide a structured and optimized collection of data for creating visualizations, reports, and dashboards.

Webforms​

Webforms allow you to create forms, surveys, and quizzes to collect new data or update existing data directly from end-users.

Once created and configured, they can be embedded on websites, shared via links, or integrated into applications. Data collected via Webforms can be immediately stored within Qrvey and can be used to update datasets.

How it Works​

Connections, Datasets, and Webforms work together to create Qrvey's data-driven experience.

  1. Create Connection(s): Establish a connection to external data sources (databases, cloud storage, etc.).
  2. Import Data: Use the Connection to import data into Qrvey.
  3. Create a Webform: Design Webforms to collect data directly from users.
  4. Store Data in Datasets: Data from both Connections and Webforms are stored in Datasets.
  5. Analyze and Visualize: Use the Datasets to create Dashboards, Pixel Perfect Reports, and other analytical outputs.