IT Analytics: Optimizing IT Software
IT Solutions With The Power of Analytics
IT Analytics Helps IT Focused SaaS Platforms Grow
IT software vendors are the glue that helps companies plan, execute and ultimately complete successful digital transformations. As the number of cloud services has exploded, and the complexity of integration options has grown.
The role of systems integrators has evolved from being a mere consultant to becoming a trusted advisor that helps companies understand their IT data in all-new ways.
Qrvey Helps IT Software Providers Level Up
Built for Real-Time IT Software
Qrvey was built for the next generation of IT analytics software platforms and fits perfectly with the needs of IT solutions that need always up-to-date data.
Scalable Data Layer Built-In
Qrvey can analyze hundreds of millions of rows in seconds, and provides data augmentation, analysis, predictions and more.
Increasing Adoption & Retention
Qrvey is a 100% cloud-native platform that provides data collection, transformation, visualization, automation and more.
Fast Time to Market
Qrvey is the fastest way to deliver the scalable, differentiated solutions that IT software providers need to stay ahead of the competition.
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Analytics for IT Consulting
Systems Integration Done Right
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IT Analytics Software
Qrvey is the most complete embedded analytics solution that simplifies IT analytics to give the IT industry all of the tools they need to meet their biggest analytics challenges for delivering all-new products and services with exceptional value.
As IT systems grow more complex in the age of digital transformation, the need for powerful, flexible and scalable IT analytics solutions only increases.
IT Analytics Tools
IT Analytics Help SaaS Companies Differentiate
True embedded analytics for SaaS applications needs to span your entire data pipeline, from data generation all the way to automation.
Dashboards & Dashboard Builders
Offer your users the widest array of out-of-the-box dashboards, but when customers demand custom reports, empower them to build themselves in your SaaS app.
Data Management Built-In
Qrvey includes a native data warehouse complete with APIs, native data connectors and ETL rules for a scalable data layer built specifically for analytics.
Deployed to Your Cloud
Qrvey is a deployed solution to cloud environments. This offers the best of scalability and security within your SaaS platform.
Customizable IT Analytics for SaaS Applications
Key Capabilities of Qrvey for IT Analytics
Real-Time Data Processing
Spot trends in real-time, support rapid decision-making and improve patient outcomes with real-time data analysis.
Enterprise Scale
Efficiently scale to billions of records and increase concurrent user access while lowering infrastructure costs.
Integrated AI
Integrated AI for predictive analytics, improving diagnostic accuracy, and personalizing patient care.
Multi-Tenant Data Lake
Scale analytics offering by combining data sources into a scalable central analytics layer for multi-tenant apps.
Data Governance
Manage data security by ensuring data quality, regulatory compliance, and effective data stewardship.
Integration Ready
Unified data pipeline supporting integrations from enterprise systems, applications, and all data sources.
Self-Service Analytics
Empower users to build their own custom dashboards using Qrvey’s multi-tenant security layer and embedded builders.
Embedded Data Visualization
Advanced data visualization tools for intuitive insights through interactive charts and real-time dashboards for healthcare.
Support
Your success is our success. Our award willing support team is with your every step of the way.
Analytics for Those Who Want More
Build Less Software. Deliver More Value.
Frequently Asked Questions
IT analytics involves collecting and analyzing data from IT infrastructure, systems, tools and processes to gain insights, monitor performance, improve services and support strategic decisions.
IT analytics improves performance monitoring, capacity planning, cost optimization and overall efficiency of IT systems, resources and processes through data-driven insights.
- CIOs, IT directors, managers
- IT operations, infrastructure, security teams
- Software engineers, developers
- IT service desks, support teams
- Monitoring IT system availability, uptime, response times
- Analyzing infrastructure usage trends to optimize resources
- Reviewing IT spend and costs to reduce expenses
- Measuring cybersecurity threats to mitigate risks
- Quantifying business value of IT to demonstrate ROI
- Optimizing IT processes like incident handling, change management
- Identifying root causes of IT issues and outages
- Predicting future IT resource needs based on demand forecasts
- Automating reporting on IT KPIs like system response time, user satisfaction