Qrvey
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Designed for external use cases where SaaS companies need to provide their customers with powerful and customizable analytics capabilities.
Qrvey is the only full stack solution that offers all the embedded visualization and self-service analytics tools along with a unified data pipeline that offers a data lake optimized for multi-tenant analytics.
Qrvey's embedded visualizations empower engineering teams to build custom experiences, along with full white labeling and CSS customization options to make Qrvey’s javascript widgets blend seamlessly into a SaaS application. ⋅⋅* Qrvey’s data-driven automation workflows enable the creation of complex workflows based on data triggers, such as conditional logic, nested functions, data write-backs with notification integrations to third party systems such as Slack. ⋅⋅* Qrvey supports natural language querying of data using generative AI to easily spot trends and outliers, augmented analysis capabilities. ⋅⋅* Qrvey also supports pixel perfect reporting to generate printable reports from the same analytics data.
Qrvey simplifies data management by providing a single data pipeline solution featuring a data lake solution that is optimized for multi-tenant analytics. This contains native data connectors and APIs to ingest data in any type from any source, including real-time data with live connections. ⋅⋅* Qrvey’s semantic layer can inherit and map security models from your multi-tenant SaaS application, saving software development teams the hassle of duplicating users and roles. ⋅⋅* Qrvey’s robust API allows you to create data delivery services and managed download functions that go beyond basic exporting.
Enago Read is an AI-based online Reading Assistant tool that helps researchers and publishers with literature review, critical reading, concept extraction, semantic knowledge mining, content discovery, and recommendation.
Qrvey Enago ReadQrvey's answer
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Enago Read's answer:
Researchers, Thesis Researchers, Academic Researchers etc
Qrvey's answer
Customers choose Qrvey for the following reasons:
Qrvey's answer
Qrvey's approach to embedded analytics is different. Qrvey combines the best of BI, data warehousing, and data visualization into a single solution built exclusively for SaaS applications.
Qrvey's key features include:
100% Embeddability - Everything is embeddable with JS based components that supports full white labeling so you can create unique analytics experiences within your SaaS application.
Data Warehouse included - Visualizations are useless without a scalable data layer built specifically for analytics use cases. Qrvey includes native multi-tenant support so your data is ready for your multi-tenant SaaS application. This includes data syncing and API support that allows for any type of data to be ingested into the Qrvey data layer.
Self-Hosted - Deployed to Your AWS Environment. Customers get ultimate control as Qrvey is deployed to their AWS environment inheriting and respecting their security policies. Your data never leaves, but it's ready for analytics now.
Enago Read's answer:
Enago Read is a service provided by Enago, a company that offers various services for academic and scientific researchers, including language editing, publication support, and translation services. Enago Read is an innovative platform designed to help researchers and academics discover, browse, and access research articles and academic content more efficiently.
Enago Read's answer:
The story behind Enago Read revolves around a deep commitment to empowering researchers on their academic journey. Enago recognized the many challenges faced by researchers during their quest for knowledge and academic excellence. The team understood that researchers often struggled to find the most relevant and up-to-date research articles, wasting valuable time sifting through vast volumes of information.
With a vision to revolutionize the way researchers discover and access scholarly content, Enago set out to create a personalized intellectual partner for every researcher – and thus, Enago Read was born. The driving force behind this endeavor was to intelligently assist researchers during the most challenging situations of their research journey.
Enago Read's journey began with a profound understanding of researchers' needs and aspirations. The team aimed to build a platform that would not only be a repository of academic content but also a highly intuitive and user-friendly tool. They envisioned a service that could cater to each researcher's specific interests and preferences, providing personalized content recommendations to fuel their intellectual growth.
Enago Read's answer:
Artificial Intelligence.
Based on our record, Qrvey seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
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